Overview

Dataset statistics

Number of variables750
Number of observations373
Missing cells0
Missing cells (%)0.0%
Total size in memory2.1 MiB
Average record size in memory5.9 KiB

Variable types

Numeric750

Alerts

p_1 has 366 (98.1%) zerosZeros
p_10 has 367 (98.4%) zerosZeros
p_13 has 372 (99.7%) zerosZeros
p_138 has 371 (99.5%) zerosZeros
p_139 has 372 (99.7%) zerosZeros
p_14 has 371 (99.5%) zerosZeros
p_142 has 371 (99.5%) zerosZeros
p_144 has 371 (99.5%) zerosZeros
p_146 has 371 (99.5%) zerosZeros
p_15 has 369 (98.9%) zerosZeros
p_154 has 372 (99.7%) zerosZeros
p_164 has 372 (99.7%) zerosZeros
p_167 has 372 (99.7%) zerosZeros
p_169 has 371 (99.5%) zerosZeros
p_17 has 371 (99.5%) zerosZeros
p_18 has 372 (99.7%) zerosZeros
p_180 has 372 (99.7%) zerosZeros
p_182 has 372 (99.7%) zerosZeros
p_188 has 372 (99.7%) zerosZeros
p_19 has 372 (99.7%) zerosZeros
p_190 has 372 (99.7%) zerosZeros
p_2 has 369 (98.9%) zerosZeros
p_207 has 372 (99.7%) zerosZeros
p_209 has 372 (99.7%) zerosZeros
p_21 has 372 (99.7%) zerosZeros
p_214 has 372 (99.7%) zerosZeros
p_216 has 372 (99.7%) zerosZeros
p_220 has 372 (99.7%) zerosZeros
p_232 has 370 (99.2%) zerosZeros
p_234 has 372 (99.7%) zerosZeros
p_236 has 367 (98.4%) zerosZeros
p_240 has 368 (98.7%) zerosZeros
p_246 has 371 (99.5%) zerosZeros
p_25 has 371 (99.5%) zerosZeros
p_250 has 370 (99.2%) zerosZeros
p_251 has 372 (99.7%) zerosZeros
p_260 has 372 (99.7%) zerosZeros
p_264 has 361 (96.8%) zerosZeros
p_27 has 372 (99.7%) zerosZeros
p_272 has 372 (99.7%) zerosZeros
p_28 has 351 (94.1%) zerosZeros
p_283 has 369 (98.9%) zerosZeros
p_284 has 369 (98.9%) zerosZeros
p_287 has 372 (99.7%) zerosZeros
p_289 has 372 (99.7%) zerosZeros
p_291 has 372 (99.7%) zerosZeros
p_292 has 371 (99.5%) zerosZeros
p_293 has 369 (98.9%) zerosZeros
p_294 has 372 (99.7%) zerosZeros
p_300 has 371 (99.5%) zerosZeros
p_302 has 372 (99.7%) zerosZeros
p_38 has 364 (97.6%) zerosZeros
p_42 has 371 (99.5%) zerosZeros
p_47 has 367 (98.4%) zerosZeros
p_48 has 370 (99.2%) zerosZeros
p_53 has 368 (98.7%) zerosZeros
p_54 has 371 (99.5%) zerosZeros
p_55 has 370 (99.2%) zerosZeros
p_7 has 363 (97.3%) zerosZeros
p_79 has 372 (99.7%) zerosZeros
p_8 has 362 (97.1%) zerosZeros
p_81 has 372 (99.7%) zerosZeros
p_82 has 366 (98.1%) zerosZeros
p_83 has 368 (98.7%) zerosZeros
p_9 has 356 (95.4%) zerosZeros
s_1 has 370 (99.2%) zerosZeros
s_10 has 371 (99.5%) zerosZeros
s_100 has 345 (92.5%) zerosZeros
s_1005 has 371 (99.5%) zerosZeros
s_1006 has 372 (99.7%) zerosZeros
s_101 has 358 (96.0%) zerosZeros
s_102 has 346 (92.8%) zerosZeros
s_103 has 368 (98.7%) zerosZeros
s_104 has 368 (98.7%) zerosZeros
s_1045 has 371 (99.5%) zerosZeros
s_105 has 366 (98.1%) zerosZeros
s_1050 has 372 (99.7%) zerosZeros
s_1051 has 372 (99.7%) zerosZeros
s_106 has 372 (99.7%) zerosZeros
s_1066 has 372 (99.7%) zerosZeros
s_1067 has 368 (98.7%) zerosZeros
s_107 has 356 (95.4%) zerosZeros
s_1072 has 372 (99.7%) zerosZeros
s_108 has 371 (99.5%) zerosZeros
s_1091 has 372 (99.7%) zerosZeros
s_1094 has 372 (99.7%) zerosZeros
s_1095 has 372 (99.7%) zerosZeros
s_1096 has 371 (99.5%) zerosZeros
s_110 has 368 (98.7%) zerosZeros
s_1102 has 370 (99.2%) zerosZeros
s_1104 has 371 (99.5%) zerosZeros
s_111 has 366 (98.1%) zerosZeros
s_1116 has 372 (99.7%) zerosZeros
s_112 has 360 (96.5%) zerosZeros
s_1123 has 372 (99.7%) zerosZeros
s_113 has 371 (99.5%) zerosZeros
s_1139 has 372 (99.7%) zerosZeros
s_1142 has 353 (94.6%) zerosZeros
s_115 has 371 (99.5%) zerosZeros
s_1150 has 368 (98.7%) zerosZeros
s_1156 has 372 (99.7%) zerosZeros
s_116 has 368 (98.7%) zerosZeros
s_1163 has 371 (99.5%) zerosZeros
s_1165 has 365 (97.9%) zerosZeros
s_1173 has 369 (98.9%) zerosZeros
s_1178 has 372 (99.7%) zerosZeros
s_118 has 370 (99.2%) zerosZeros
s_1184 has 372 (99.7%) zerosZeros
s_1185 has 372 (99.7%) zerosZeros
s_1186 has 371 (99.5%) zerosZeros
s_1190 has 361 (96.8%) zerosZeros
s_1191 has 367 (98.4%) zerosZeros
s_1192 has 368 (98.7%) zerosZeros
s_1193 has 364 (97.6%) zerosZeros
s_1194 has 372 (99.7%) zerosZeros
s_1195 has 365 (97.9%) zerosZeros
s_1197 has 367 (98.4%) zerosZeros
s_1198 has 370 (99.2%) zerosZeros
s_120 has 357 (95.7%) zerosZeros
s_1200 has 368 (98.7%) zerosZeros
s_1201 has 372 (99.7%) zerosZeros
s_1202 has 372 (99.7%) zerosZeros
s_1203 has 372 (99.7%) zerosZeros
s_1205 has 372 (99.7%) zerosZeros
s_1206 has 372 (99.7%) zerosZeros
s_1207 has 372 (99.7%) zerosZeros
s_1209 has 367 (98.4%) zerosZeros
s_121 has 367 (98.4%) zerosZeros
s_1210 has 372 (99.7%) zerosZeros
s_122 has 363 (97.3%) zerosZeros
s_1227 has 371 (99.5%) zerosZeros
s_124 has 371 (99.5%) zerosZeros
s_1243 has 371 (99.5%) zerosZeros
s_1244 has 372 (99.7%) zerosZeros
s_1245 has 371 (99.5%) zerosZeros
s_1246 has 372 (99.7%) zerosZeros
s_1247 has 369 (98.9%) zerosZeros
s_1249 has 368 (98.7%) zerosZeros
s_125 has 372 (99.7%) zerosZeros
s_1250 has 372 (99.7%) zerosZeros
s_1296 has 372 (99.7%) zerosZeros
s_1297 has 368 (98.7%) zerosZeros
s_13 has 337 (90.3%) zerosZeros
s_1301 has 366 (98.1%) zerosZeros
s_1304 has 370 (99.2%) zerosZeros
s_1310 has 368 (98.7%) zerosZeros
s_1311 has 370 (99.2%) zerosZeros
s_1312 has 372 (99.7%) zerosZeros
s_1313 has 369 (98.9%) zerosZeros
s_1314 has 366 (98.1%) zerosZeros
s_1315 has 371 (99.5%) zerosZeros
s_1317 has 371 (99.5%) zerosZeros
s_132 has 368 (98.7%) zerosZeros
s_1328 has 372 (99.7%) zerosZeros
s_1344 has 372 (99.7%) zerosZeros
s_1345 has 372 (99.7%) zerosZeros
s_1349 has 369 (98.9%) zerosZeros
s_136 has 372 (99.7%) zerosZeros
s_1365 has 372 (99.7%) zerosZeros
s_1367 has 370 (99.2%) zerosZeros
s_1369 has 372 (99.7%) zerosZeros
s_137 has 372 (99.7%) zerosZeros
s_1370 has 372 (99.7%) zerosZeros
s_1371 has 372 (99.7%) zerosZeros
s_1384 has 371 (99.5%) zerosZeros
s_1385 has 372 (99.7%) zerosZeros
s_1386 has 372 (99.7%) zerosZeros
s_1387 has 362 (97.1%) zerosZeros
s_139 has 372 (99.7%) zerosZeros
s_1392 has 370 (99.2%) zerosZeros
s_1393 has 371 (99.5%) zerosZeros
s_14 has 372 (99.7%) zerosZeros
s_1400 has 370 (99.2%) zerosZeros
s_1422 has 372 (99.7%) zerosZeros
s_1429 has 370 (99.2%) zerosZeros
s_143 has 369 (98.9%) zerosZeros
s_1430 has 372 (99.7%) zerosZeros
s_1431 has 371 (99.5%) zerosZeros
s_1432 has 370 (99.2%) zerosZeros
s_1433 has 371 (99.5%) zerosZeros
s_1434 has 371 (99.5%) zerosZeros
s_1436 has 370 (99.2%) zerosZeros
s_1440 has 368 (98.7%) zerosZeros
s_1442 has 365 (97.9%) zerosZeros
s_1447 has 370 (99.2%) zerosZeros
s_1449 has 372 (99.7%) zerosZeros
s_145 has 365 (97.9%) zerosZeros
s_1452 has 372 (99.7%) zerosZeros
s_1453 has 367 (98.4%) zerosZeros
s_1454 has 372 (99.7%) zerosZeros
s_1457 has 368 (98.7%) zerosZeros
s_1462 has 370 (99.2%) zerosZeros
s_1467 has 370 (99.2%) zerosZeros
s_1468 has 367 (98.4%) zerosZeros
s_1469 has 372 (99.7%) zerosZeros
s_147 has 368 (98.7%) zerosZeros
s_1470 has 359 (96.2%) zerosZeros
s_1471 has 369 (98.9%) zerosZeros
s_148 has 372 (99.7%) zerosZeros
s_1480 has 371 (99.5%) zerosZeros
s_1483 has 365 (97.9%) zerosZeros
s_1492 has 369 (98.9%) zerosZeros
s_15 has 369 (98.9%) zerosZeros
s_1508 has 369 (98.9%) zerosZeros
s_1509 has 369 (98.9%) zerosZeros
s_1514 has 354 (94.9%) zerosZeros
s_152 has 372 (99.7%) zerosZeros
s_1528 has 368 (98.7%) zerosZeros
s_153 has 370 (99.2%) zerosZeros
s_1531 has 366 (98.1%) zerosZeros
s_1532 has 368 (98.7%) zerosZeros
s_1535 has 370 (99.2%) zerosZeros
s_1536 has 371 (99.5%) zerosZeros
s_1538 has 371 (99.5%) zerosZeros
s_1543 has 362 (97.1%) zerosZeros
s_1544 has 371 (99.5%) zerosZeros
s_1547 has 371 (99.5%) zerosZeros
s_155 has 370 (99.2%) zerosZeros
s_1551 has 372 (99.7%) zerosZeros
s_1557 has 366 (98.1%) zerosZeros
s_1558 has 365 (97.9%) zerosZeros
s_156 has 320 (85.8%) zerosZeros
s_1563 has 369 (98.9%) zerosZeros
s_1565 has 372 (99.7%) zerosZeros
s_1569 has 371 (99.5%) zerosZeros
s_1570 has 370 (99.2%) zerosZeros
s_1571 has 359 (96.2%) zerosZeros
s_158 has 366 (98.1%) zerosZeros
s_1589 has 371 (99.5%) zerosZeros
s_159 has 371 (99.5%) zerosZeros
s_1591 has 368 (98.7%) zerosZeros
s_1598 has 367 (98.4%) zerosZeros
s_16 has 369 (98.9%) zerosZeros
s_1601 has 368 (98.7%) zerosZeros
s_1603 has 372 (99.7%) zerosZeros
s_161 has 370 (99.2%) zerosZeros
s_1610 has 372 (99.7%) zerosZeros
s_1616 has 372 (99.7%) zerosZeros
s_1617 has 368 (98.7%) zerosZeros
s_1618 has 372 (99.7%) zerosZeros
s_162 has 372 (99.7%) zerosZeros
s_1620 has 372 (99.7%) zerosZeros
s_1625 has 369 (98.9%) zerosZeros
s_1635 has 372 (99.7%) zerosZeros
s_1647 has 368 (98.7%) zerosZeros
s_1650 has 369 (98.9%) zerosZeros
s_1654 has 371 (99.5%) zerosZeros
s_1655 has 372 (99.7%) zerosZeros
s_1656 has 368 (98.7%) zerosZeros
s_1673 has 371 (99.5%) zerosZeros
s_1674 has 371 (99.5%) zerosZeros
s_1680 has 370 (99.2%) zerosZeros
s_1684 has 371 (99.5%) zerosZeros
s_1685 has 372 (99.7%) zerosZeros
s_169 has 366 (98.1%) zerosZeros
s_1695 has 371 (99.5%) zerosZeros
s_1696 has 372 (99.7%) zerosZeros
s_1697 has 372 (99.7%) zerosZeros
s_1698 has 372 (99.7%) zerosZeros
s_17 has 370 (99.2%) zerosZeros
s_170 has 370 (99.2%) zerosZeros
s_1713 has 363 (97.3%) zerosZeros
s_172 has 369 (98.9%) zerosZeros
s_1720 has 370 (99.2%) zerosZeros
s_1729 has 369 (98.9%) zerosZeros
s_173 has 369 (98.9%) zerosZeros
s_1733 has 372 (99.7%) zerosZeros
s_174 has 368 (98.7%) zerosZeros
s_175 has 367 (98.4%) zerosZeros
s_176 has 367 (98.4%) zerosZeros
s_1761 has 372 (99.7%) zerosZeros
s_1767 has 371 (99.5%) zerosZeros
s_177 has 371 (99.5%) zerosZeros
s_1772 has 371 (99.5%) zerosZeros
s_1776 has 372 (99.7%) zerosZeros
s_1779 has 372 (99.7%) zerosZeros
s_1780 has 372 (99.7%) zerosZeros
s_1781 has 370 (99.2%) zerosZeros
s_1782 has 368 (98.7%) zerosZeros
s_1783 has 371 (99.5%) zerosZeros
s_1788 has 367 (98.4%) zerosZeros
s_1789 has 367 (98.4%) zerosZeros
s_179 has 371 (99.5%) zerosZeros
s_1790 has 367 (98.4%) zerosZeros
s_1791 has 369 (98.9%) zerosZeros
s_1792 has 372 (99.7%) zerosZeros
s_1793 has 372 (99.7%) zerosZeros
s_1796 has 372 (99.7%) zerosZeros
s_1798 has 368 (98.7%) zerosZeros
s_180 has 371 (99.5%) zerosZeros
s_1800 has 372 (99.7%) zerosZeros
s_1801 has 372 (99.7%) zerosZeros
s_1802 has 371 (99.5%) zerosZeros
s_1803 has 369 (98.9%) zerosZeros
s_1805 has 371 (99.5%) zerosZeros
s_1807 has 366 (98.1%) zerosZeros
s_1808 has 356 (95.4%) zerosZeros
s_1810 has 364 (97.6%) zerosZeros
s_1819 has 372 (99.7%) zerosZeros
s_182 has 368 (98.7%) zerosZeros
s_1823 has 372 (99.7%) zerosZeros
s_1826 has 372 (99.7%) zerosZeros
s_1829 has 372 (99.7%) zerosZeros
s_183 has 372 (99.7%) zerosZeros
s_1830 has 369 (98.9%) zerosZeros
s_1831 has 365 (97.9%) zerosZeros
s_1840 has 366 (98.1%) zerosZeros
s_1842 has 368 (98.7%) zerosZeros
s_1843 has 368 (98.7%) zerosZeros
s_1844 has 370 (99.2%) zerosZeros
s_1845 has 371 (99.5%) zerosZeros
s_1846 has 372 (99.7%) zerosZeros
s_1847 has 369 (98.9%) zerosZeros
s_1848 has 370 (99.2%) zerosZeros
s_185 has 368 (98.7%) zerosZeros
s_1850 has 369 (98.9%) zerosZeros
s_1851 has 371 (99.5%) zerosZeros
s_1852 has 371 (99.5%) zerosZeros
s_1853 has 372 (99.7%) zerosZeros
s_1858 has 371 (99.5%) zerosZeros
s_186 has 372 (99.7%) zerosZeros
s_1860 has 366 (98.1%) zerosZeros
s_1864 has 372 (99.7%) zerosZeros
s_1868 has 372 (99.7%) zerosZeros
s_1875 has 372 (99.7%) zerosZeros
s_189 has 371 (99.5%) zerosZeros
s_1893 has 372 (99.7%) zerosZeros
s_19 has 370 (99.2%) zerosZeros
s_1900 has 372 (99.7%) zerosZeros
s_1905 has 371 (99.5%) zerosZeros
s_1911 has 370 (99.2%) zerosZeros
s_1912 has 367 (98.4%) zerosZeros
s_1915 has 372 (99.7%) zerosZeros
s_1918 has 372 (99.7%) zerosZeros
s_192 has 371 (99.5%) zerosZeros
s_1921 has 372 (99.7%) zerosZeros
s_1922 has 371 (99.5%) zerosZeros
s_1923 has 360 (96.5%) zerosZeros
s_1924 has 370 (99.2%) zerosZeros
s_1925 has 370 (99.2%) zerosZeros
s_1926 has 371 (99.5%) zerosZeros
s_1927 has 371 (99.5%) zerosZeros
s_1929 has 371 (99.5%) zerosZeros
s_1930 has 372 (99.7%) zerosZeros
s_1934 has 371 (99.5%) zerosZeros
s_1935 has 371 (99.5%) zerosZeros
s_1937 has 370 (99.2%) zerosZeros
s_1943 has 372 (99.7%) zerosZeros
s_1949 has 372 (99.7%) zerosZeros
s_1955 has 371 (99.5%) zerosZeros
s_1957 has 372 (99.7%) zerosZeros
s_1958 has 372 (99.7%) zerosZeros
s_1960 has 372 (99.7%) zerosZeros
s_1961 has 367 (98.4%) zerosZeros
s_1979 has 372 (99.7%) zerosZeros
s_1980 has 371 (99.5%) zerosZeros
s_1981 has 372 (99.7%) zerosZeros
s_1982 has 360 (96.5%) zerosZeros
s_1983 has 372 (99.7%) zerosZeros
s_1985 has 371 (99.5%) zerosZeros
s_1992 has 369 (98.9%) zerosZeros
s_1994 has 372 (99.7%) zerosZeros
s_1995 has 372 (99.7%) zerosZeros
s_1999 has 372 (99.7%) zerosZeros
s_2 has 372 (99.7%) zerosZeros
s_20 has 355 (95.2%) zerosZeros
s_2000 has 369 (98.9%) zerosZeros
s_2001 has 372 (99.7%) zerosZeros
s_2002 has 372 (99.7%) zerosZeros
s_2005 has 371 (99.5%) zerosZeros
s_2006 has 372 (99.7%) zerosZeros
s_2008 has 372 (99.7%) zerosZeros
s_201 has 370 (99.2%) zerosZeros
s_2010 has 372 (99.7%) zerosZeros
s_2017 has 372 (99.7%) zerosZeros
s_2018 has 371 (99.5%) zerosZeros
s_2019 has 368 (98.7%) zerosZeros
s_202 has 372 (99.7%) zerosZeros
s_2022 has 371 (99.5%) zerosZeros
s_2023 has 372 (99.7%) zerosZeros
s_203 has 369 (98.9%) zerosZeros
s_2033 has 370 (99.2%) zerosZeros
s_2034 has 356 (95.4%) zerosZeros
s_2043 has 371 (99.5%) zerosZeros
s_2045 has 365 (97.9%) zerosZeros
s_2048 has 370 (99.2%) zerosZeros
s_2051 has 369 (98.9%) zerosZeros
s_2053 has 372 (99.7%) zerosZeros
s_2055 has 371 (99.5%) zerosZeros
s_2056 has 363 (97.3%) zerosZeros
s_2057 has 372 (99.7%) zerosZeros
s_2059 has 369 (98.9%) zerosZeros
s_2060 has 369 (98.9%) zerosZeros
s_2062 has 370 (99.2%) zerosZeros
s_2063 has 372 (99.7%) zerosZeros
s_2064 has 372 (99.7%) zerosZeros
s_2066 has 372 (99.7%) zerosZeros
s_207 has 371 (99.5%) zerosZeros
s_2072 has 366 (98.1%) zerosZeros
s_2074 has 371 (99.5%) zerosZeros
s_2078 has 372 (99.7%) zerosZeros
s_208 has 368 (98.7%) zerosZeros
s_2080 has 372 (99.7%) zerosZeros
s_2081 has 372 (99.7%) zerosZeros
s_2083 has 372 (99.7%) zerosZeros
s_2084 has 372 (99.7%) zerosZeros
s_2088 has 368 (98.7%) zerosZeros
s_2091 has 372 (99.7%) zerosZeros
s_2092 has 372 (99.7%) zerosZeros
s_2093 has 372 (99.7%) zerosZeros
s_2094 has 371 (99.5%) zerosZeros
s_2096 has 372 (99.7%) zerosZeros
s_21 has 327 (87.7%) zerosZeros
s_2100 has 301 (80.7%) zerosZeros
s_2103 has 372 (99.7%) zerosZeros
s_2111 has 370 (99.2%) zerosZeros
s_2115 has 372 (99.7%) zerosZeros
s_2116 has 372 (99.7%) zerosZeros
s_212 has 372 (99.7%) zerosZeros
s_2122 has 372 (99.7%) zerosZeros
s_2126 has 372 (99.7%) zerosZeros
s_2129 has 372 (99.7%) zerosZeros
s_2130 has 369 (98.9%) zerosZeros
s_2134 has 371 (99.5%) zerosZeros
s_2135 has 371 (99.5%) zerosZeros
s_2139 has 368 (98.7%) zerosZeros
s_2140 has 370 (99.2%) zerosZeros
s_2141 has 369 (98.9%) zerosZeros
s_2142 has 356 (95.4%) zerosZeros
s_2143 has 372 (99.7%) zerosZeros
s_2144 has 364 (97.6%) zerosZeros
s_2145 has 372 (99.7%) zerosZeros
s_2146 has 372 (99.7%) zerosZeros
s_2147 has 370 (99.2%) zerosZeros
s_215 has 366 (98.1%) zerosZeros
s_2153 has 368 (98.7%) zerosZeros
s_2154 has 369 (98.9%) zerosZeros
s_2156 has 371 (99.5%) zerosZeros
s_2158 has 371 (99.5%) zerosZeros
s_216 has 358 (96.0%) zerosZeros
s_2161 has 372 (99.7%) zerosZeros
s_2162 has 372 (99.7%) zerosZeros
s_2163 has 367 (98.4%) zerosZeros
s_2165 has 372 (99.7%) zerosZeros
s_217 has 369 (98.9%) zerosZeros
s_2173 has 372 (99.7%) zerosZeros
s_2176 has 371 (99.5%) zerosZeros
s_2177 has 371 (99.5%) zerosZeros
s_2180 has 372 (99.7%) zerosZeros
s_2181 has 370 (99.2%) zerosZeros
s_219 has 370 (99.2%) zerosZeros
s_2193 has 372 (99.7%) zerosZeros
s_2194 has 369 (98.9%) zerosZeros
s_22 has 372 (99.7%) zerosZeros
s_220 has 360 (96.5%) zerosZeros
s_2204 has 372 (99.7%) zerosZeros
s_2205 has 371 (99.5%) zerosZeros
s_2207 has 369 (98.9%) zerosZeros
s_2209 has 372 (99.7%) zerosZeros
s_2211 has 371 (99.5%) zerosZeros
s_2237 has 372 (99.7%) zerosZeros
s_2238 has 372 (99.7%) zerosZeros
s_2241 has 372 (99.7%) zerosZeros
s_2247 has 372 (99.7%) zerosZeros
s_2248 has 369 (98.9%) zerosZeros
s_2253 has 372 (99.7%) zerosZeros
s_2256 has 372 (99.7%) zerosZeros
s_226 has 367 (98.4%) zerosZeros
s_2261 has 372 (99.7%) zerosZeros
s_2264 has 372 (99.7%) zerosZeros
s_2266 has 372 (99.7%) zerosZeros
s_2267 has 372 (99.7%) zerosZeros
s_227 has 353 (94.6%) zerosZeros
s_2276 has 372 (99.7%) zerosZeros
s_2278 has 369 (98.9%) zerosZeros
s_2280 has 372 (99.7%) zerosZeros
s_2282 has 369 (98.9%) zerosZeros
s_2283 has 370 (99.2%) zerosZeros
s_2285 has 371 (99.5%) zerosZeros
s_2289 has 372 (99.7%) zerosZeros
s_229 has 344 (92.2%) zerosZeros
s_2290 has 349 (93.6%) zerosZeros
s_2291 has 372 (99.7%) zerosZeros
s_2292 has 372 (99.7%) zerosZeros
s_2299 has 372 (99.7%) zerosZeros
s_23 has 370 (99.2%) zerosZeros
s_230 has 372 (99.7%) zerosZeros
s_2300 has 371 (99.5%) zerosZeros
s_2302 has 371 (99.5%) zerosZeros
s_2303 has 372 (99.7%) zerosZeros
s_2304 has 372 (99.7%) zerosZeros
s_2306 has 372 (99.7%) zerosZeros
s_2307 has 371 (99.5%) zerosZeros
s_2315 has 372 (99.7%) zerosZeros
s_233 has 370 (99.2%) zerosZeros
s_234 has 366 (98.1%) zerosZeros
s_236 has 372 (99.7%) zerosZeros
s_24 has 369 (98.9%) zerosZeros
s_241 has 347 (93.0%) zerosZeros
s_243 has 372 (99.7%) zerosZeros
s_245 has 367 (98.4%) zerosZeros
s_247 has 367 (98.4%) zerosZeros
s_25 has 371 (99.5%) zerosZeros
s_250 has 369 (98.9%) zerosZeros
s_252 has 372 (99.7%) zerosZeros
s_253 has 372 (99.7%) zerosZeros
s_254 has 347 (93.0%) zerosZeros
s_255 has 370 (99.2%) zerosZeros
s_256 has 369 (98.9%) zerosZeros
s_261 has 333 (89.3%) zerosZeros
s_263 has 371 (99.5%) zerosZeros
s_265 has 372 (99.7%) zerosZeros
s_266 has 372 (99.7%) zerosZeros
s_272 has 368 (98.7%) zerosZeros
s_274 has 371 (99.5%) zerosZeros
s_276 has 371 (99.5%) zerosZeros
s_277 has 367 (98.4%) zerosZeros
s_28 has 366 (98.1%) zerosZeros
s_280 has 372 (99.7%) zerosZeros
s_284 has 338 (90.6%) zerosZeros
s_285 has 367 (98.4%) zerosZeros
s_287 has 372 (99.7%) zerosZeros
s_290 has 372 (99.7%) zerosZeros
s_291 has 372 (99.7%) zerosZeros
s_297 has 371 (99.5%) zerosZeros
s_299 has 363 (97.3%) zerosZeros
s_30 has 367 (98.4%) zerosZeros
s_300 has 370 (99.2%) zerosZeros
s_301 has 371 (99.5%) zerosZeros
s_302 has 372 (99.7%) zerosZeros
s_305 has 311 (83.4%) zerosZeros
s_306 has 370 (99.2%) zerosZeros
s_309 has 359 (96.2%) zerosZeros
s_31 has 370 (99.2%) zerosZeros
s_310 has 367 (98.4%) zerosZeros
s_311 has 371 (99.5%) zerosZeros
s_313 has 372 (99.7%) zerosZeros
s_316 has 368 (98.7%) zerosZeros
s_317 has 370 (99.2%) zerosZeros
s_319 has 359 (96.2%) zerosZeros
s_32 has 370 (99.2%) zerosZeros
s_320 has 357 (95.7%) zerosZeros
s_322 has 370 (99.2%) zerosZeros
s_323 has 370 (99.2%) zerosZeros
s_325 has 370 (99.2%) zerosZeros
s_328 has 369 (98.9%) zerosZeros
s_329 has 361 (96.8%) zerosZeros
s_330 has 371 (99.5%) zerosZeros
s_331 has 363 (97.3%) zerosZeros
s_332 has 364 (97.6%) zerosZeros
s_334 has 372 (99.7%) zerosZeros
s_335 has 372 (99.7%) zerosZeros
s_336 has 372 (99.7%) zerosZeros
s_338 has 370 (99.2%) zerosZeros
s_34 has 371 (99.5%) zerosZeros
s_343 has 372 (99.7%) zerosZeros
s_345 has 372 (99.7%) zerosZeros
s_346 has 371 (99.5%) zerosZeros
s_35 has 372 (99.7%) zerosZeros
s_350 has 370 (99.2%) zerosZeros
s_351 has 372 (99.7%) zerosZeros
s_352 has 371 (99.5%) zerosZeros
s_358 has 371 (99.5%) zerosZeros
s_359 has 372 (99.7%) zerosZeros
s_362 has 369 (98.9%) zerosZeros
s_369 has 366 (98.1%) zerosZeros
s_37 has 370 (99.2%) zerosZeros
s_370 has 361 (96.8%) zerosZeros
s_371 has 372 (99.7%) zerosZeros
s_373 has 370 (99.2%) zerosZeros
s_38 has 372 (99.7%) zerosZeros
s_380 has 372 (99.7%) zerosZeros
s_381 has 372 (99.7%) zerosZeros
s_382 has 372 (99.7%) zerosZeros
s_383 has 372 (99.7%) zerosZeros
s_385 has 372 (99.7%) zerosZeros
s_386 has 370 (99.2%) zerosZeros
s_388 has 367 (98.4%) zerosZeros
s_389 has 372 (99.7%) zerosZeros
s_39 has 363 (97.3%) zerosZeros
s_393 has 364 (97.6%) zerosZeros
s_398 has 371 (99.5%) zerosZeros
s_400 has 371 (99.5%) zerosZeros
s_402 has 372 (99.7%) zerosZeros
s_404 has 368 (98.7%) zerosZeros
s_407 has 369 (98.9%) zerosZeros
s_408 has 367 (98.4%) zerosZeros
s_410 has 371 (99.5%) zerosZeros
s_415 has 371 (99.5%) zerosZeros
s_417 has 338 (90.6%) zerosZeros
s_418 has 357 (95.7%) zerosZeros
s_419 has 372 (99.7%) zerosZeros
s_420 has 372 (99.7%) zerosZeros
s_424 has 369 (98.9%) zerosZeros
s_425 has 372 (99.7%) zerosZeros
s_426 has 372 (99.7%) zerosZeros
s_427 has 372 (99.7%) zerosZeros
s_43 has 371 (99.5%) zerosZeros
s_430 has 371 (99.5%) zerosZeros
s_433 has 368 (98.7%) zerosZeros
s_435 has 371 (99.5%) zerosZeros
s_437 has 367 (98.4%) zerosZeros
s_44 has 357 (95.7%) zerosZeros
s_47 has 367 (98.4%) zerosZeros
s_471 has 372 (99.7%) zerosZeros
s_474 has 360 (96.5%) zerosZeros
s_478 has 369 (98.9%) zerosZeros
s_48 has 371 (99.5%) zerosZeros
s_480 has 372 (99.7%) zerosZeros
s_483 has 368 (98.7%) zerosZeros
s_484 has 371 (99.5%) zerosZeros
s_485 has 371 (99.5%) zerosZeros
s_486 has 371 (99.5%) zerosZeros
s_487 has 372 (99.7%) zerosZeros
s_488 has 352 (94.4%) zerosZeros
s_489 has 370 (99.2%) zerosZeros
s_492 has 361 (96.8%) zerosZeros
s_493 has 361 (96.8%) zerosZeros
s_50 has 352 (94.4%) zerosZeros
s_503 has 371 (99.5%) zerosZeros
s_505 has 371 (99.5%) zerosZeros
s_509 has 371 (99.5%) zerosZeros
s_51 has 370 (99.2%) zerosZeros
s_510 has 371 (99.5%) zerosZeros
s_518 has 368 (98.7%) zerosZeros
s_52 has 366 (98.1%) zerosZeros
s_525 has 370 (99.2%) zerosZeros
s_526 has 372 (99.7%) zerosZeros
s_528 has 371 (99.5%) zerosZeros
s_529 has 372 (99.7%) zerosZeros
s_53 has 365 (97.9%) zerosZeros
s_530 has 372 (99.7%) zerosZeros
s_531 has 372 (99.7%) zerosZeros
s_532 has 370 (99.2%) zerosZeros
s_533 has 358 (96.0%) zerosZeros
s_534 has 366 (98.1%) zerosZeros
s_538 has 371 (99.5%) zerosZeros
s_539 has 371 (99.5%) zerosZeros
s_54 has 372 (99.7%) zerosZeros
s_540 has 344 (92.2%) zerosZeros
s_542 has 365 (97.9%) zerosZeros
s_543 has 363 (97.3%) zerosZeros
s_545 has 372 (99.7%) zerosZeros
s_55 has 370 (99.2%) zerosZeros
s_550 has 372 (99.7%) zerosZeros
s_551 has 366 (98.1%) zerosZeros
s_553 has 368 (98.7%) zerosZeros
s_554 has 370 (99.2%) zerosZeros
s_555 has 371 (99.5%) zerosZeros
s_556 has 367 (98.4%) zerosZeros
s_557 has 372 (99.7%) zerosZeros
s_558 has 369 (98.9%) zerosZeros
s_56 has 371 (99.5%) zerosZeros
s_561 has 371 (99.5%) zerosZeros
s_562 has 371 (99.5%) zerosZeros
s_563 has 370 (99.2%) zerosZeros
s_567 has 372 (99.7%) zerosZeros
s_568 has 372 (99.7%) zerosZeros
s_57 has 372 (99.7%) zerosZeros
s_571 has 372 (99.7%) zerosZeros
s_575 has 370 (99.2%) zerosZeros
s_578 has 371 (99.5%) zerosZeros
s_579 has 368 (98.7%) zerosZeros
s_580 has 368 (98.7%) zerosZeros
s_581 has 370 (99.2%) zerosZeros
s_582 has 372 (99.7%) zerosZeros
s_583 has 370 (99.2%) zerosZeros
s_59 has 368 (98.7%) zerosZeros
s_593 has 370 (99.2%) zerosZeros
s_594 has 363 (97.3%) zerosZeros
s_598 has 370 (99.2%) zerosZeros
s_60 has 371 (99.5%) zerosZeros
s_603 has 372 (99.7%) zerosZeros
s_605 has 371 (99.5%) zerosZeros
s_606 has 371 (99.5%) zerosZeros
s_607 has 372 (99.7%) zerosZeros
s_608 has 372 (99.7%) zerosZeros
s_609 has 371 (99.5%) zerosZeros
s_610 has 371 (99.5%) zerosZeros
s_611 has 372 (99.7%) zerosZeros
s_612 has 372 (99.7%) zerosZeros
s_614 has 371 (99.5%) zerosZeros
s_616 has 363 (97.3%) zerosZeros
s_622 has 371 (99.5%) zerosZeros
s_623 has 372 (99.7%) zerosZeros
s_630 has 372 (99.7%) zerosZeros
s_631 has 365 (97.9%) zerosZeros
s_64 has 372 (99.7%) zerosZeros
s_640 has 372 (99.7%) zerosZeros
s_642 has 366 (98.1%) zerosZeros
s_646 has 370 (99.2%) zerosZeros
s_65 has 370 (99.2%) zerosZeros
s_650 has 365 (97.9%) zerosZeros
s_651 has 369 (98.9%) zerosZeros
s_659 has 370 (99.2%) zerosZeros
s_660 has 369 (98.9%) zerosZeros
s_663 has 372 (99.7%) zerosZeros
s_665 has 372 (99.7%) zerosZeros
s_67 has 370 (99.2%) zerosZeros
s_670 has 372 (99.7%) zerosZeros
s_671 has 371 (99.5%) zerosZeros
s_672 has 371 (99.5%) zerosZeros
s_673 has 372 (99.7%) zerosZeros
s_68 has 365 (97.9%) zerosZeros
s_690 has 371 (99.5%) zerosZeros
s_691 has 372 (99.7%) zerosZeros
s_694 has 370 (99.2%) zerosZeros
s_697 has 370 (99.2%) zerosZeros
s_698 has 372 (99.7%) zerosZeros
s_700 has 350 (93.8%) zerosZeros
s_706 has 372 (99.7%) zerosZeros
s_71 has 367 (98.4%) zerosZeros
s_715 has 372 (99.7%) zerosZeros
s_716 has 370 (99.2%) zerosZeros
s_717 has 372 (99.7%) zerosZeros
s_72 has 363 (97.3%) zerosZeros
s_721 has 372 (99.7%) zerosZeros
s_743 has 372 (99.7%) zerosZeros
s_75 has 370 (99.2%) zerosZeros
s_750 has 370 (99.2%) zerosZeros
s_762 has 372 (99.7%) zerosZeros
s_763 has 369 (98.9%) zerosZeros
s_766 has 372 (99.7%) zerosZeros
s_776 has 372 (99.7%) zerosZeros
s_777 has 371 (99.5%) zerosZeros
s_790 has 372 (99.7%) zerosZeros
s_791 has 372 (99.7%) zerosZeros
s_793 has 372 (99.7%) zerosZeros
s_799 has 371 (99.5%) zerosZeros
s_8 has 347 (93.0%) zerosZeros
s_801 has 372 (99.7%) zerosZeros
s_81 has 363 (97.3%) zerosZeros
s_830 has 372 (99.7%) zerosZeros
s_84 has 372 (99.7%) zerosZeros
s_842 has 372 (99.7%) zerosZeros
s_85 has 372 (99.7%) zerosZeros
s_857 has 371 (99.5%) zerosZeros
s_87 has 372 (99.7%) zerosZeros
s_88 has 342 (91.7%) zerosZeros
s_9 has 359 (96.2%) zerosZeros
s_90 has 370 (99.2%) zerosZeros
s_917 has 369 (98.9%) zerosZeros
s_92 has 362 (97.1%) zerosZeros
s_936 has 371 (99.5%) zerosZeros
s_959 has 372 (99.7%) zerosZeros
s_962 has 365 (97.9%) zerosZeros
s_965 has 371 (99.5%) zerosZeros
s_967 has 367 (98.4%) zerosZeros
s_98 has 282 (75.6%) zerosZeros
s_99 has 353 (94.6%) zerosZeros

Reproduction

Analysis started2023-05-31 07:49:51.329181
Analysis finished2023-05-31 07:49:54.899094
Duration3.57 seconds
Software versionydata-profiling vv4.1.2
Download configurationconfig.json

Variables

p_1
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:54.961092image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-31T09:49:55.126095image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

p_10
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-31T09:49:55.242094image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1268865819
Coefficient of variation (CV)-23.66434753
Kurtosis59.76842808
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-2.518376402
Sum-2
Variance0.01610020468
MonotonicityNot monotonic
2023-05-31T09:49:55.335078image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
-1 4
 
1.1%
1 2
 
0.5%
ValueCountFrequency (%)
-1 4
 
1.1%
0 367
98.4%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 367
98.4%
-1 4
 
1.1%

p_13
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:55.438937image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:49:55.529968image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_138
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:55.620419image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:49:55.705418image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

p_139
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:49:55.793372image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:49:55.880379image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

p_14
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:55.975355image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:49:56.066814image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

p_142
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:49:56.160815image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:49:56.251813image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

p_144
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:56.350444image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:49:56.437484image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

p_146
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:56.528228image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:49:56.615228image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

p_15
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:56.702525image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:49:56.789157image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

p_154
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:56.880595image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:49:56.969602image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_164
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:57.063454image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:49:57.150967image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_167
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:57.241009image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:49:57.328987image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_169
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:49:57.417648image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:49:57.505943image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

p_17
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:57.601973image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:49:57.688469image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

p_18
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:57.778073image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:49:57.862566image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_180
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:57.952536image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:49:58.041537image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_182
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:58.132537image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:49:58.218556image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_188
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:49:58.306254image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:49:58.394255image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

p_19
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:58.486460image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:49:58.578463image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_190
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:58.668647image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:49:58.878680image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_2
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:58.970201image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:49:59.058525image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

p_207
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:49:59.147532image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:49:59.234106image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

p_209
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:59.324171image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:49:59.415180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_21
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:59.504180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:49:59.592180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_214
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:49:59.680184image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:49:59.767770image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

p_216
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:49:59.858306image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:49:59.947278image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_220
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:00.037940image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:00.123975image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

p_232
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:00.214947image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:50:00.302947image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

p_234
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:00.401098image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:00.491544image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_236
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:00.585542image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-31T09:50:00.674543image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

p_240
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:00.769566image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-31T09:50:00.859081image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

p_246
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:00.955090image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:50:01.043119image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

p_25
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:01.139455image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:01.227223image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

p_250
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:01.328252image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:50:01.426986image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

p_251
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:01.518324image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:01.612085image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_260
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:01.705068image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:01.797950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_264
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros361
Zeros (%)96.8%
Negative5
Negative (%)1.3%
Memory size13.9 KiB
2023-05-31T09:50:01.888297image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1795250315
Coefficient of variation (CV)33.48141837
Kurtosis28.42871982
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness0.8441034032
Sum2
Variance0.03222923693
MonotonicityNot monotonic
2023-05-31T09:50:01.975084image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 361
96.8%
1 7
 
1.9%
-1 5
 
1.3%
ValueCountFrequency (%)
-1 5
 
1.3%
0 361
96.8%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 361
96.8%
-1 5
 
1.3%

p_27
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:02.066204image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:02.160087image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

p_272
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:02.252494image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:02.336504image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_28
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum1
Zeros351
Zeros (%)94.1%
Negative12
Negative (%)3.2%
Memory size13.9 KiB
2023-05-31T09:50:02.420532image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2431274509
Coefficient of variation (CV)-45.34326959
Kurtosis14.14587865
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-0.3095849725
Sum-2
Variance0.05911095736
MonotonicityNot monotonic
2023-05-31T09:50:02.512504image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 351
94.1%
-1 12
 
3.2%
1 10
 
2.7%
ValueCountFrequency (%)
-1 12
 
3.2%
0 351
94.1%
1 10
 
2.7%
ValueCountFrequency (%)
1 10
 
2.7%
0 351
94.1%
-1 12
 
3.2%

p_283
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01072386059
Minimum-1
Maximum0
Zeros369
Zeros (%)98.9%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-31T09:50:02.618504image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)-9.617587217
Kurtosis89.47174301
Mean-0.01072386059
Median Absolute Deviation (MAD)0
Skewness-9.538973932
Sum-4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:50:02.706134image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
-1 4
 
1.1%
ValueCountFrequency (%)
-1 4
 
1.1%
0 369
98.9%
ValueCountFrequency (%)
0 369
98.9%
-1 4
 
1.1%

p_284
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:02.794902image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-31T09:50:02.883910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

p_287
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:02.999913image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:03.086563image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_289
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:03.176561image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:03.265564image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_291
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:03.362595image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:03.445741image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

p_292
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:03.536636image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:50:03.638637image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

p_293
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:03.733429image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1036951695
Coefficient of variation (CV)nan
Kurtosis91.48782691
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.01075268817
MonotonicityNot monotonic
2023-05-31T09:50:03.820826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 2
 
0.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 369
98.9%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 369
98.9%
-1 2
 
0.5%

p_294
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:03.908857image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:03.993828image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_300
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:04.082388image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:50:04.167589image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

p_302
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:04.255469image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:04.339524image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_38
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01340482574
Minimum-1
Maximum1
Zeros364
Zeros (%)97.6%
Negative7
Negative (%)1.9%
Memory size13.9 KiB
2023-05-31T09:50:04.423525image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1549624987
Coefficient of variation (CV)-11.5602024
Kurtosis38.38943522
Mean-0.01340482574
Median Absolute Deviation (MAD)0
Skewness-3.3699049
Sum-5
Variance0.024013376
MonotonicityNot monotonic
2023-05-31T09:50:04.507828image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 364
97.6%
-1 7
 
1.9%
1 2
 
0.5%
ValueCountFrequency (%)
-1 7
 
1.9%
0 364
97.6%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 364
97.6%
-1 7
 
1.9%

p_42
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:04.600728image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:50:04.837965image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

p_47
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-31T09:50:04.925556image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1268865819
Coefficient of variation (CV)-23.66434753
Kurtosis59.76842808
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-2.518376402
Sum-2
Variance0.01610020468
MonotonicityNot monotonic
2023-05-31T09:50:05.010570image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
-1 4
 
1.1%
1 2
 
0.5%
ValueCountFrequency (%)
-1 4
 
1.1%
0 367
98.4%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 367
98.4%
-1 4
 
1.1%

p_48
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:05.101394image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:50:05.185766image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

p_53
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:05.277097image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-31T09:50:05.364527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

p_54
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:05.452522image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:50:05.536619image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

p_55
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:05.628568image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)-33.48141837
Kurtosis122.7715924
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-3.646749094
Sum-1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:50:05.712849image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
-1 2
 
0.5%
1 1
 
0.3%
ValueCountFrequency (%)
-1 2
 
0.5%
0 370
99.2%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 370
99.2%
-1 2
 
0.5%

p_7
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:05.802707image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1631633298
Coefficient of variation (CV)10.14332034
Kurtosis34.09244767
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness3.434829468
Sum6
Variance0.02662227219
MonotonicityNot monotonic
2023-05-31T09:50:05.885224image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
1 8
 
2.1%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 363
97.3%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 363
97.3%
-1 2
 
0.5%

p_79
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:05.974593image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:06.060758image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_8
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01340482574
Minimum-1
Maximum1
Zeros362
Zeros (%)97.1%
Negative8
Negative (%)2.1%
Memory size13.9 KiB
2023-05-31T09:50:06.146948image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1714343025
Coefficient of variation (CV)-12.78899897
Kurtosis30.95585293
Mean-0.01340482574
Median Absolute Deviation (MAD)0
Skewness-2.445738884
Sum-5
Variance0.02938972008
MonotonicityNot monotonic
2023-05-31T09:50:06.233971image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 362
97.1%
-1 8
 
2.1%
1 3
 
0.8%
ValueCountFrequency (%)
-1 8
 
2.1%
0 362
97.1%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 362
97.1%
-1 8
 
2.1%

p_81
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:06.329637image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:06.410511image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_82
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:06.495519image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.136517515
Coefficient of variation (CV)10.18420662
Kurtosis49.98232341
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness5.014135328
Sum5
Variance0.01863703191
MonotonicityNot monotonic
2023-05-31T09:50:06.581240image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 6
 
1.6%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 366
98.1%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 366
98.1%
-1 1
 
0.3%

p_83
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:06.672423image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-31T09:50:06.757488image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

p_9
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum-1
Maximum1
Zeros356
Zeros (%)95.4%
Negative5
Negative (%)1.3%
Memory size13.9 KiB
2023-05-31T09:50:06.847976image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2129455021
Coefficient of variation (CV)11.34695318
Kurtosis18.91094223
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness1.692722883
Sum7
Variance0.04534578685
MonotonicityNot monotonic
2023-05-31T09:50:06.937891image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 356
95.4%
1 12
 
3.2%
-1 5
 
1.3%
ValueCountFrequency (%)
-1 5
 
1.3%
0 356
95.4%
1 12
 
3.2%
ValueCountFrequency (%)
1 12
 
3.2%
0 356
95.4%
-1 5
 
1.3%

s_1
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:07.025427image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:07.112197image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_10
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:07.197299image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:07.279976image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_100
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07506702413
Minimum0
Maximum1
Zeros345
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:07.363822image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2638533894
Coefficient of variation (CV)3.51490408
Kurtosis8.53258004
Mean0.07506702413
Median Absolute Deviation (MAD)0
Skewness3.238341722
Sum28
Variance0.06961861109
MonotonicityNot monotonic
2023-05-31T09:50:07.445979image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 345
92.5%
1 28
 
7.5%
ValueCountFrequency (%)
0 345
92.5%
1 28
 
7.5%
ValueCountFrequency (%)
1 28
 
7.5%
0 345
92.5%

s_1005
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:07.529650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:07.612750image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1006
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:07.700476image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:07.782447image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_101
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03485254692
Minimum-1
Maximum1
Zeros358
Zeros (%)96.0%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:07.868614image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1977488693
Coefficient of variation (CV)5.673871403
Kurtosis20.72793119
Mean0.03485254692
Median Absolute Deviation (MAD)0
Skewness4.006420153
Sum13
Variance0.0391046153
MonotonicityNot monotonic
2023-05-31T09:50:07.952413image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 358
96.0%
1 14
 
3.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 358
96.0%
1 14
 
3.8%
ValueCountFrequency (%)
1 14
 
3.8%
0 358
96.0%
-1 1
 
0.3%

s_102
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03485254692
Minimum-1
Maximum1
Zeros346
Zeros (%)92.8%
Negative7
Negative (%)1.9%
Memory size13.9 KiB
2023-05-31T09:50:08.045651image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2671379415
Coefficient of variation (CV)7.664804015
Kurtosis10.59195194
Mean0.03485254692
Median Absolute Deviation (MAD)0
Skewness1.447265774
Sum13
Variance0.07136267981
MonotonicityNot monotonic
2023-05-31T09:50:08.130638image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 346
92.8%
1 20
 
5.4%
-1 7
 
1.9%
ValueCountFrequency (%)
-1 7
 
1.9%
0 346
92.8%
1 20
 
5.4%
ValueCountFrequency (%)
1 20
 
5.4%
0 346
92.8%
-1 7
 
1.9%

s_103
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:08.222803image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:50:08.305800image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_104
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:08.389823image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:50:08.472852image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_1045
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:08.557584image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:50:08.644081image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_105
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:08.745119image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-31T09:50:08.835948image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_1050
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:08.928945image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:09.015373image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1051
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:09.104044image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:09.193895image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_106
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:09.284798image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:09.372798image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1066
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:09.470804image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:09.558858image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1067
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:09.648232image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:50:09.738232image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_107
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02949061662
Minimum-1
Maximum1
Zeros356
Zeros (%)95.4%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-31T09:50:09.826370image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2117236179
Coefficient of variation (CV)7.179355406
Kurtosis18.44280143
Mean0.02949061662
Median Absolute Deviation (MAD)0
Skewness2.709554942
Sum11
Variance0.04482689037
MonotonicityNot monotonic
2023-05-31T09:50:09.911655image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 356
95.4%
1 14
 
3.8%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 356
95.4%
1 14
 
3.8%
ValueCountFrequency (%)
1 14
 
3.8%
0 356
95.4%
-1 3
 
0.8%

s_1072
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:10.003655image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:10.089408image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_108
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:10.173043image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:10.256175image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1091
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:10.340668image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:10.429935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1094
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:10.517713image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:10.605258image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1095
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:10.694332image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:10.780912image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1096
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:10.869350image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:10.955352image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_110
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:11.206014image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-31T09:50:11.293464image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_1102
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:11.385509image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:50:11.472689image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_1104
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:11.570743image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:11.656609image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_111
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:11.743811image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-31T09:50:11.828624image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_1116
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:11.921748image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:12.012223image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_112
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros360
Zeros (%)96.5%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-31T09:50:12.101222image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1864566013
Coefficient of variation (CV)13.90966246
Kurtosis25.78415988
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness1.867413939
Sum5
Variance0.03476606417
MonotonicityNot monotonic
2023-05-31T09:50:12.192222image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 360
96.5%
1 9
 
2.4%
-1 4
 
1.1%
ValueCountFrequency (%)
-1 4
 
1.1%
0 360
96.5%
1 9
 
2.4%
ValueCountFrequency (%)
1 9
 
2.4%
0 360
96.5%
-1 4
 
1.1%

s_1123
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:12.283877image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:12.370879image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_113
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:12.458956image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:12.546124image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1139
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:12.638917image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:12.730921image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1142
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04825737265
Minimum-1
Maximum1
Zeros353
Zeros (%)94.6%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:12.871947image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0.4
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2267783206
Coefficient of variation (CV)4.699350755
Kurtosis14.32708747
Mean0.04825737265
Median Absolute Deviation (MAD)0
Skewness3.51964789
Sum18
Variance0.0514284067
MonotonicityNot monotonic
2023-05-31T09:50:12.970919image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 353
94.6%
1 19
 
5.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 353
94.6%
1 19
 
5.1%
ValueCountFrequency (%)
1 19
 
5.1%
0 353
94.6%
-1 1
 
0.3%

s_115
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:13.072919image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:13.165918image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1150
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:13.257872image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-31T09:50:13.345285image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_1156
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:13.437015image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:13.522577image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_116
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-31T09:50:13.619595image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)-43.232057
Kurtosis72.50746401
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-1.666024859
Sum-1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-31T09:50:13.710089image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
-1 3
 
0.8%
1 2
 
0.5%
ValueCountFrequency (%)
-1 3
 
0.8%
0 368
98.7%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 368
98.7%
-1 3
 
0.8%

s_1163
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:13.808369image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:50:13.896397image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_1165
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum-1
Maximum1
Zeros365
Zeros (%)97.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:13.990527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1457598302
Coefficient of variation (CV)9.061402778
Kurtosis43.13116301
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness4.902147849
Sum6
Variance0.0212459281
MonotonicityNot monotonic
2023-05-31T09:50:14.084468image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 365
97.9%
1 7
 
1.9%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 365
97.9%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 365
97.9%
-1 1
 
0.3%

s_1173
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:14.184475image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-31T09:50:14.269664image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

s_1178
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:14.360304image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:14.443070image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_118
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:14.526227image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:14.610057image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1184
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:14.696633image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:14.787816image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1185
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:14.875576image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:14.957622image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1186
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:15.042309image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:15.123665image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1190
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03217158177
Minimum0
Maximum1
Zeros361
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:15.215115image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1766925906
Coefficient of variation (CV)5.49219469
Kurtosis26.48633171
Mean0.03217158177
Median Absolute Deviation (MAD)0
Skewness5.323940329
Sum12
Variance0.03122027156
MonotonicityNot monotonic
2023-05-31T09:50:15.304121image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 361
96.8%
1 12
 
3.2%
ValueCountFrequency (%)
0 361
96.8%
1 12
 
3.2%
ValueCountFrequency (%)
1 12
 
3.2%
0 361
96.8%

s_1191
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:15.396499image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-31T09:50:15.483808image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_1192
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:15.574864image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-31T09:50:15.665715image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_1193
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum-1
Maximum1
Zeros364
Zeros (%)97.6%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:15.766109image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1544034019
Coefficient of variation (CV)8.227495556
Kurtosis37.79974349
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness4.771076183
Sum7
Variance0.0238404105
MonotonicityNot monotonic
2023-05-31T09:50:15.855108image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 364
97.6%
1 8
 
2.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 364
97.6%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 364
97.6%
-1 1
 
0.3%

s_1194
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:15.948109image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:16.036697image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1195
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum0
Maximum1
Zeros365
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:16.124636image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1450659679
Coefficient of variation (CV)6.763700751
Kurtosis42.2268841
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness6.633286671
Sum8
Variance0.02104413503
MonotonicityNot monotonic
2023-05-31T09:50:16.215666image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 365
97.9%

s_1197
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:16.304458image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1268865819
Coefficient of variation (CV)23.66434753
Kurtosis59.76842808
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness2.518376402
Sum2
Variance0.01610020468
MonotonicityNot monotonic
2023-05-31T09:50:16.395465image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 4
 
1.1%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 367
98.4%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 367
98.4%
-1 2
 
0.5%

s_1198
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:16.489087image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:16.574421image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_120
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03753351206
Minimum-1
Maximum1
Zeros357
Zeros (%)95.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:16.665669image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2039563707
Coefficient of variation (CV)5.433980449
Kurtosis19.12729147
Mean0.03753351206
Median Absolute Deviation (MAD)0
Skewness3.898385782
Sum14
Variance0.04159820116
MonotonicityNot monotonic
2023-05-31T09:50:16.752376image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 357
95.7%
1 15
 
4.0%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 357
95.7%
1 15
 
4.0%
ValueCountFrequency (%)
1 15
 
4.0%
0 357
95.7%
-1 1
 
0.3%

s_1200
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:16.846316image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:50:16.927527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_1201
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:17.012526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:17.093538image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1202
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:17.180526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:17.265074image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1203
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:17.352389image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:17.438549image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1205
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:17.526413image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:17.782672image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1206
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:17.870605image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:17.953885image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1207
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:18.039139image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:18.129040image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1209
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:18.219783image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-31T09:50:18.306783image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_121
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:18.394781image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-31T09:50:18.480571image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_1210
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:18.570583image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:18.655580image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_122
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:18.744608image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.162543776
Coefficient of variation (CV)7.578603556
Kurtosis33.53307464
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness4.634367912
Sum8
Variance0.02642047911
MonotonicityNot monotonic
2023-05-31T09:50:18.837730image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
1 9
 
2.4%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 363
97.3%
1 9
 
2.4%
ValueCountFrequency (%)
1 9
 
2.4%
0 363
97.3%
-1 1
 
0.3%

s_1227
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:18.931779image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:19.022166image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_124
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum0
Zeros371
Zeros (%)99.5%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:19.122148image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)-13.63813242
Kurtosis183.9783931
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-13.60117379
Sum-2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:19.223150image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 371
99.5%
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%

s_1243
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:19.312436image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:19.402354image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1244
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:19.505386image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:19.620383image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1245
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:19.708979image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:19.793924image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1246
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:19.878146image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:19.969582image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1247
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:20.054955image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:50:20.144342image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_1249
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:20.256323image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-31T09:50:20.357337image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_125
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:20.451732image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:20.533817image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1250
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:20.627078image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:20.713687image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1296
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:20.807495image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:20.892813image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1297
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:20.984625image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:50:21.070992image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_13
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04289544236
Minimum-1
Maximum1
Zeros337
Zeros (%)90.3%
Negative10
Negative (%)2.7%
Memory size13.9 KiB
2023-05-31T09:50:21.160660image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3081058719
Coefficient of variation (CV)7.182718138
Kurtosis7.176253326
Mean0.04289544236
Median Absolute Deviation (MAD)0
Skewness1.055827199
Sum16
Variance0.09492922829
MonotonicityNot monotonic
2023-05-31T09:50:21.249558image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 337
90.3%
1 26
 
7.0%
-1 10
 
2.7%
ValueCountFrequency (%)
-1 10
 
2.7%
0 337
90.3%
1 26
 
7.0%
ValueCountFrequency (%)
1 26
 
7.0%
0 337
90.3%
-1 10
 
2.7%

s_1301
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:21.341254image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-31T09:50:21.429534image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_1304
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:21.519492image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:21.612107image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1310
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-31T09:50:21.702057image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)-43.232057
Kurtosis72.50746401
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-1.666024859
Sum-1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-31T09:50:21.799771image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
-1 3
 
0.8%
1 2
 
0.5%
ValueCountFrequency (%)
-1 3
 
0.8%
0 368
98.7%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 368
98.7%
-1 3
 
0.8%

s_1311
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:21.903565image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:21.992885image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1312
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:22.088442image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:22.177675image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1313
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:22.272681image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:50:22.361681image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_1314
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:22.454682image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-31T09:50:22.544643image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_1315
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:22.635019image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:22.720199image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1317
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:22.810117image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:22.902277image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_132
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:22.990443image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:50:23.076392image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_1328
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:23.162644image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:23.248155image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1344
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:23.343183image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:23.428648image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1345
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:23.514408image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:23.600232image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1349
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:23.685972image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:50:23.769333image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_136
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:23.867697image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:23.958532image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1365
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:24.050524image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:24.159247image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1367
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:24.266097image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:24.361051image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1369
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:24.454539image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:24.701646image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_137
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:24.786590image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:24.870883image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1370
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:24.970178image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:25.058702image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1371
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:25.144731image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:25.238529image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1384
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:25.332413image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:25.416139image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1385
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:25.505479image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:25.588963image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1386
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:25.677556image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:25.768218image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1387
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum-1
Maximum1
Zeros362
Zeros (%)97.1%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:25.882244image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1709290923
Coefficient of variation (CV)9.108078775
Kurtosis30.57179918
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness3.455792195
Sum7
Variance0.02921675459
MonotonicityNot monotonic
2023-05-31T09:50:25.970139image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 362
97.1%
1 9
 
2.4%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 362
97.1%
1 9
 
2.4%
ValueCountFrequency (%)
1 9
 
2.4%
0 362
97.1%
-1 2
 
0.5%

s_139
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:26.064204image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:26.147608image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1392
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:26.233331image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:26.323409image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1393
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:26.408862image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:26.495201image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_14
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:26.582485image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:26.667391image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1400
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:26.753858image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:26.840141image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1422
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:26.930141image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:27.015143image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1429
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:27.103086image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:27.187352image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_143
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:27.275690image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:50:27.361058image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_1430
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:27.447132image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:27.532516image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1431
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:27.621703image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:27.705289image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1432
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:27.791232image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:27.884920image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1433
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:27.972383image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:28.064383image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1434
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:28.155384image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:28.244038image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1436
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:28.336044image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:28.426427image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1440
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:28.519485image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-31T09:50:28.613282image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_1442
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum0
Maximum1
Zeros365
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:28.708264image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1450659679
Coefficient of variation (CV)6.763700751
Kurtosis42.2268841
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness6.633286671
Sum8
Variance0.02104413503
MonotonicityNot monotonic
2023-05-31T09:50:28.793640image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 365
97.9%

s_1447
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:28.889091image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:28.974060image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1449
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:29.065373image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:29.149847image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_145
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros365
Zeros (%)97.9%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:29.239355image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1462534308
Coefficient of variation (CV)13.63813242
Kurtosis43.75099202
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness3.234127418
Sum4
Variance0.02139006602
MonotonicityNot monotonic
2023-05-31T09:50:29.328355image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 365
97.9%
1 6
 
1.6%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 365
97.9%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 365
97.9%
-1 2
 
0.5%

s_1452
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:29.422355image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:29.510298image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1453
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:29.599298image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1268865819
Coefficient of variation (CV)23.66434753
Kurtosis59.76842808
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness2.518376402
Sum2
Variance0.01610020468
MonotonicityNot monotonic
2023-05-31T09:50:29.688302image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 4
 
1.1%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 367
98.4%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 367
98.4%
-1 2
 
0.5%

s_1454
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:29.783252image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:29.877641image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1457
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:29.968639image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:50:30.056403image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_1462
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:30.145551image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:30.233973image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1467
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:30.323668image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:30.410056image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1468
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:30.499727image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-31T09:50:30.585756image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_1469
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:30.675516image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:30.760385image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_147
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:30.851442image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-31T09:50:30.945053image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_1470
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03753351206
Minimum0
Maximum1
Zeros359
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:31.038434image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1903204063
Coefficient of variation (CV)5.070679398
Kurtosis21.99158617
Mean0.03753351206
Median Absolute Deviation (MAD)0
Skewness4.886071627
Sum14
Variance0.03622185707
MonotonicityNot monotonic
2023-05-31T09:50:31.129406image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 359
96.2%
1 14
 
3.8%
ValueCountFrequency (%)
0 359
96.2%
1 14
 
3.8%
ValueCountFrequency (%)
1 14
 
3.8%
0 359
96.2%

s_1471
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:31.234017image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-31T09:50:31.508533image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

s_148
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:31.601907image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:31.688038image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1480
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:31.780266image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:31.872569image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1483
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum0
Maximum1
Zeros365
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:31.963569image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1450659679
Coefficient of variation (CV)6.763700751
Kurtosis42.2268841
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness6.633286671
Sum8
Variance0.02104413503
MonotonicityNot monotonic
2023-05-31T09:50:32.050399image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 365
97.9%

s_1492
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:32.137400image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:50:32.223345image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_15
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:32.312042image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:50:32.403963image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_1508
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-31T09:50:32.502459image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)-19.31320792
Kurtosis90.99401735
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-4.711068406
Sum-2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-31T09:50:32.599784image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
-1 3
 
0.8%
1 1
 
0.3%
ValueCountFrequency (%)
-1 3
 
0.8%
0 369
98.9%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 369
98.9%
-1 3
 
0.8%

s_1509
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:32.702032image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-31T09:50:32.796837image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

s_1514
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03485254692
Minimum-1
Maximum1
Zeros354
Zeros (%)94.9%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-31T09:50:32.899190image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2232874906
Coefficient of variation (CV)6.406633385
Kurtosis16.01556002
Mean0.03485254692
Median Absolute Deviation (MAD)0
Skewness2.68141487
Sum13
Variance0.04985730347
MonotonicityNot monotonic
2023-05-31T09:50:32.988990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 354
94.9%
1 16
 
4.3%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 354
94.9%
1 16
 
4.3%
ValueCountFrequency (%)
1 16
 
4.3%
0 354
94.9%
-1 3
 
0.8%

s_152
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:33.086044image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:33.175946image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1528
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:33.266140image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-31T09:50:33.356741image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_153
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:33.450742image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:33.543743image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1531
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:33.633778image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1369391918
Coefficient of variation (CV)17.02610618
Kurtosis50.62813511
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness2.980048439
Sum3
Variance0.01875234224
MonotonicityNot monotonic
2023-05-31T09:50:33.726109image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 5
 
1.3%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 366
98.1%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 366
98.1%
-1 2
 
0.5%

s_1532
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:33.828426image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-31T09:50:33.924433image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_1535
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:34.022432image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:34.110710image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1536
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:34.198716image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:34.285746image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1538
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:34.376720image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:34.463515image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1543
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros362
Zeros (%)97.1%
Negative5
Negative (%)1.3%
Memory size13.9 KiB
2023-05-31T09:50:34.553145image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1719380283
Coefficient of variation (CV)64.13288456
Kurtosis31.32843658
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness0.4846777576
Sum1
Variance0.02956268558
MonotonicityNot monotonic
2023-05-31T09:50:34.642559image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 362
97.1%
1 6
 
1.6%
-1 5
 
1.3%
ValueCountFrequency (%)
-1 5
 
1.3%
0 362
97.1%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 362
97.1%
-1 5
 
1.3%

s_1544
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:34.743557image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:34.832557image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1547
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:34.928560image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:50:35.024559image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_155
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:35.128586image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:35.218455image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1551
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:35.319142image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:35.409150image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1557
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:35.505182image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-31T09:50:35.600740image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_1558
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum1
Zeros365
Zeros (%)97.9%
Negative5
Negative (%)1.3%
Memory size13.9 KiB
2023-05-31T09:50:35.693115image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1465487931
Coefficient of variation (CV)-27.33134991
Kurtosis44.11279114
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-1.607009793
Sum-2
Variance0.02147654876
MonotonicityNot monotonic
2023-05-31T09:50:35.786450image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 365
97.9%
-1 5
 
1.3%
1 3
 
0.8%
ValueCountFrequency (%)
-1 5
 
1.3%
0 365
97.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 365
97.9%
-1 5
 
1.3%

s_156
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09383378016
Minimum-1
Maximum1
Zeros320
Zeros (%)85.8%
Negative9
Negative (%)2.4%
Memory size13.9 KiB
2023-05-31T09:50:35.883454image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3655744401
Coefficient of variation (CV)3.895979033
Kurtosis3.48785667
Mean0.09383378016
Median Absolute Deviation (MAD)0
Skewness1.144898398
Sum35
Variance0.1336446712
MonotonicityNot monotonic
2023-05-31T09:50:35.979454image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 320
85.8%
1 44
 
11.8%
-1 9
 
2.4%
ValueCountFrequency (%)
-1 9
 
2.4%
0 320
85.8%
1 44
 
11.8%
ValueCountFrequency (%)
1 44
 
11.8%
0 320
85.8%
-1 9
 
2.4%

s_1563
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:36.119466image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-31T09:50:36.221452image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

s_1565
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:36.328453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:36.430480image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1569
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:36.527452image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:36.626481image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1570
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:36.725451image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:50:36.817482image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_1571
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros359
Zeros (%)96.2%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-31T09:50:36.917453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1928034421
Coefficient of variation (CV)8.989460488
Kurtosis23.37246959
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness2.679827273
Sum8
Variance0.03717316729
MonotonicityNot monotonic
2023-05-31T09:50:37.020453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 359
96.2%
1 11
 
2.9%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 359
96.2%
1 11
 
2.9%
ValueCountFrequency (%)
1 11
 
2.9%
0 359
96.2%
-1 3
 
0.8%

s_158
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:37.122452image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.136517515
Coefficient of variation (CV)10.18420662
Kurtosis49.98232341
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness5.014135328
Sum5
Variance0.01863703191
MonotonicityNot monotonic
2023-05-31T09:50:37.214451image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 6
 
1.6%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 366
98.1%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 366
98.1%
-1 1
 
0.3%

s_1589
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:37.314453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:37.407452image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_159
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:37.503452image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:37.594450image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1591
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:37.686450image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-31T09:50:37.781452image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_1598
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:37.878451image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1265453355
Coefficient of variation (CV)11.80035253
Kurtosis59.11050739
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness5.078529873
Sum4
Variance0.01601372193
MonotonicityNot monotonic
2023-05-31T09:50:37.978484image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 5
 
1.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 367
98.4%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 367
98.4%
-1 1
 
0.3%

s_16
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:38.082480image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1036951695
Coefficient of variation (CV)nan
Kurtosis91.48782691
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.01075268817
MonotonicityNot monotonic
2023-05-31T09:50:38.365453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
-1 2
 
0.5%
1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 369
98.9%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 369
98.9%
-1 2
 
0.5%

s_1601
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:38.464451image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-31T09:50:38.557450image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_1603
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:38.654454image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:38.750453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_161
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:38.841452image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)-33.48141837
Kurtosis122.7715924
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-3.646749094
Sum-1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:50:38.935451image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
-1 2
 
0.5%
1 1
 
0.3%
ValueCountFrequency (%)
-1 2
 
0.5%
0 370
99.2%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 370
99.2%
-1 2
 
0.5%

s_1610
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:39.030456image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:39.117480image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1616
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:39.205045image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:39.289633image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1617
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:39.382152image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:50:39.468612image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_1618
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:39.558904image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:39.642988image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_162
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:39.732338image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:39.816000image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1620
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:39.907587image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:39.998943image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1625
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:40.090914image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-31T09:50:40.183946image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

s_1635
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:40.279915image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:40.368914image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1647
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:40.457167image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-31T09:50:40.546910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_1650
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:40.640942image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-31T09:50:40.729706image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

s_1654
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:40.822741image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:40.910739image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1655
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:41.004081image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:41.090370image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1656
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:41.183380image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-31T09:50:41.275377image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_1673
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:41.374399image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:41.459978image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1674
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:41.550991image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:50:41.642107image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_1680
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:41.735870image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:41.820970image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1684
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:41.909082image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:41.997377image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1685
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:42.091137image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:42.178508image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_169
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:42.267780image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.136517515
Coefficient of variation (CV)10.18420662
Kurtosis49.98232341
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness5.014135328
Sum5
Variance0.01863703191
MonotonicityNot monotonic
2023-05-31T09:50:42.356870image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 6
 
1.6%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 366
98.1%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 366
98.1%
-1 1
 
0.3%

s_1695
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:42.450879image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:42.538028image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1696
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:42.626581image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:42.713168image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1697
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:42.803988image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:42.888557image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1698
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:42.980129image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:43.068896image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_17
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:43.161279image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:43.247347image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_170
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:43.338716image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:43.424170image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1713
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:43.514173image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1631633298
Coefficient of variation (CV)10.14332034
Kurtosis34.09244767
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness3.434829468
Sum6
Variance0.02662227219
MonotonicityNot monotonic
2023-05-31T09:50:43.606199image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
1 8
 
2.1%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 363
97.3%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 363
97.3%
-1 2
 
0.5%

s_172
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:43.700127image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:50:43.786401image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_1720
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:43.875447image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:50:43.964448image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_1729
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:44.061271image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1036951695
Coefficient of variation (CV)nan
Kurtosis91.48782691
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.01075268817
MonotonicityNot monotonic
2023-05-31T09:50:44.152353image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 2
 
0.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 369
98.9%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 369
98.9%
-1 2
 
0.5%

s_173
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:44.246826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-31T09:50:44.338847image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

s_1733
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:44.431912image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:44.517920image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_174
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:44.611333image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-31T09:50:44.699331image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_175
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01608579088
Minimum-1
Maximum0
Zeros367
Zeros (%)98.4%
Negative6
Negative (%)1.6%
Memory size13.9 KiB
2023-05-31T09:50:44.962236image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)-7.831417061
Kurtosis57.97326854
Mean-0.01608579088
Median Absolute Deviation (MAD)0
Skewness-7.724146831
Sum-6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-31T09:50:45.048235image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
-1 6
 
1.6%
ValueCountFrequency (%)
-1 6
 
1.6%
0 367
98.4%
ValueCountFrequency (%)
0 367
98.4%
-1 6
 
1.6%

s_176
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:45.138230image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1265453355
Coefficient of variation (CV)11.80035253
Kurtosis59.11050739
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness5.078529873
Sum4
Variance0.01601372193
MonotonicityNot monotonic
2023-05-31T09:50:45.225929image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 5
 
1.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 367
98.4%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 367
98.4%
-1 1
 
0.3%

s_1761
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:45.320683image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:45.405681image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1767
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:45.494679image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:45.579682image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_177
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:45.666832image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:45.756116image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1772
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:45.843780image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:45.930164image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1776
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:46.017764image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:46.104905image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1779
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:46.192281image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:46.281282image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1780
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:46.372308image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:46.459407image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1781
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:46.546887image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:46.634223image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1782
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:46.724221image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:50:46.809078image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_1783
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:46.899880image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:46.988916image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1788
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-31T09:50:47.084093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.127000127
Coefficient of variation (CV)nan
Kurtosis59.98376921
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.01612903226
MonotonicityNot monotonic
2023-05-31T09:50:47.173565image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 3
 
0.8%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 367
98.4%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 367
98.4%
-1 3
 
0.8%

s_1789
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:47.268187image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1265453355
Coefficient of variation (CV)11.80035253
Kurtosis59.11050739
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness5.078529873
Sum4
Variance0.01601372193
MonotonicityNot monotonic
2023-05-31T09:50:47.356551image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 5
 
1.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 367
98.4%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 367
98.4%
-1 1
 
0.3%

s_179
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:47.452426image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:50:47.540189image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_1790
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:47.633377image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-31T09:50:47.724612image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_1791
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:47.813609image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-31T09:50:47.902311image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

s_1792
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:47.994954image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:48.084577image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1793
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:48.172861image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:48.260571image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1796
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:48.353578image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:48.444775image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1798
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:48.535012image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:50:48.622450image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_180
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:48.711392image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:48.796712image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1800
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:48.886522image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:48.971530image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1801
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:49.069552image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:49.159070image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1802
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:49.249864image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:49.335896image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1803
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:49.428867image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1036951695
Coefficient of variation (CV)nan
Kurtosis91.48782691
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.01075268817
MonotonicityNot monotonic
2023-05-31T09:50:49.519639image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
-1 2
 
0.5%
1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 369
98.9%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 369
98.9%
-1 2
 
0.5%

s_1805
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:49.616391image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:49.703390image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1807
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:49.790253image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-31T09:50:49.879566image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_1808
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03485254692
Minimum-1
Maximum1
Zeros356
Zeros (%)95.4%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:50:49.969585image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2109050957
Coefficient of variation (CV)6.051353899
Kurtosis18.114748
Mean0.03485254692
Median Absolute Deviation (MAD)0
Skewness3.242213596
Sum13
Variance0.04448095938
MonotonicityNot monotonic
2023-05-31T09:50:50.057753image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 356
95.4%
1 15
 
4.0%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 356
95.4%
1 15
 
4.0%
ValueCountFrequency (%)
1 15
 
4.0%
0 356
95.4%
-1 2
 
0.5%

s_1810
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02412868633
Minimum0
Maximum1
Zeros364
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:50.152809image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1536547749
Coefficient of variation (CV)6.368136782
Kurtosis36.97905329
Mean0.02412868633
Median Absolute Deviation (MAD)0
Skewness6.227423235
Sum9
Variance0.02360978985
MonotonicityNot monotonic
2023-05-31T09:50:50.238369image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 364
97.6%
1 9
 
2.4%
ValueCountFrequency (%)
0 364
97.6%
1 9
 
2.4%
ValueCountFrequency (%)
1 9
 
2.4%
0 364
97.6%

s_1819
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:50.328463image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:50.412610image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_182
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:50.507221image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-31T09:50:50.598082image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_1823
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:50.693143image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:50.778364image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1826
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:50.865712image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:50.952940image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1829
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:51.041948image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:51.129723image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_183
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:51.216721image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:51.301723image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1830
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:51.389693image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:50:51.479717image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_1831
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum0
Maximum1
Zeros365
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:51.746027image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1450659679
Coefficient of variation (CV)6.763700751
Kurtosis42.2268841
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness6.633286671
Sum8
Variance0.02104413503
MonotonicityNot monotonic
2023-05-31T09:50:51.830974image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 365
97.9%

s_1840
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:51.919137image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.136517515
Coefficient of variation (CV)10.18420662
Kurtosis49.98232341
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness5.014135328
Sum5
Variance0.01863703191
MonotonicityNot monotonic
2023-05-31T09:50:52.006049image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 6
 
1.6%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 366
98.1%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 366
98.1%
-1 1
 
0.3%

s_1842
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:52.101050image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:50:52.184707image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_1843
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:52.273167image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:50:52.362168image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_1844
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:52.458168image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:52.551612image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1845
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:52.647642image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:50:52.739613image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_1846
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:52.838723image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:52.926723image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1847
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:53.019724image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:50:53.117511image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_1848
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:53.216447image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:50:53.333874image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_185
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:53.449874image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:50:53.538212image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_1850
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:53.628243image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:50:53.717784image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_1851
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:53.811914image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:53.904381image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1852
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:53.998960image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:54.096243image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1853
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:54.187949image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:54.276080image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1858
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:54.372079image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:54.464093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_186
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:54.557094image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:54.648449image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1860
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:54.739599image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-31T09:50:54.827230image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_1864
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:54.917229image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:55.006433image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1868
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:55.098594image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:55.188158image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1875
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:55.278921image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:55.370928image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_189
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:55.463956image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:50:55.554858image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_1893
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:55.652094image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:55.739169image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_19
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:55.830850image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:55.918821image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1900
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:56.008233image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:56.096393image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1905
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:56.195833image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:56.282615image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1911
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:56.374143image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:56.465903image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1912
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:56.554063image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-31T09:50:56.640732image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_1915
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:56.731731image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:56.817760image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1918
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:56.904584image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:57.001004image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_192
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:57.117002image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:50:57.229000image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_1921
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:57.346002image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:57.442998image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1922
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:57.535028image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:57.629028image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1923
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02949061662
Minimum-1
Maximum1
Zeros360
Zeros (%)96.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:57.721536image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1845919884
Coefficient of variation (CV)6.259346517
Kurtosis24.66832794
Mean0.02949061662
Median Absolute Deviation (MAD)0
Skewness4.240592638
Sum11
Variance0.0340742022
MonotonicityNot monotonic
2023-05-31T09:50:57.809531image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 360
96.5%
1 12
 
3.2%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 360
96.5%
1 12
 
3.2%
ValueCountFrequency (%)
1 12
 
3.2%
0 360
96.5%
-1 1
 
0.3%

s_1924
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:57.904537image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:57.990249image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1925
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:58.077428image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:58.166655image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1926
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:58.255031image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:58.344999image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1927
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:58.434966image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:58.730966image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1929
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:58.819965image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:58.906967image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1930
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:58.996072image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:59.083068image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1934
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:50:59.175262image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:50:59.265503image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_1935
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:59.361519image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:50:59.448521image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1937
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:59.537447image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:50:59.625328image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1943
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:59.714765image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:59.802627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1949
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:50:59.891395image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:50:59.979735image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1955
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:00.080736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:00.191736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1957
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:00.291734image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:00.384579image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1958
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:00.473908image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:00.565909image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1960
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:00.656908image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:00.746548image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1961
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:00.838982image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1265453355
Coefficient of variation (CV)11.80035253
Kurtosis59.11050739
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness5.078529873
Sum4
Variance0.01601372193
MonotonicityNot monotonic
2023-05-31T09:51:00.928803image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 5
 
1.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 367
98.4%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 367
98.4%
-1 1
 
0.3%

s_1979
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:01.024638image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:01.113056image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1980
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:01.209085image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:01.313058image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1981
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:01.423059image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:01.519760image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1982
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02949061662
Minimum-1
Maximum1
Zeros360
Zeros (%)96.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:01.611894image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1845919884
Coefficient of variation (CV)6.259346517
Kurtosis24.66832794
Mean0.02949061662
Median Absolute Deviation (MAD)0
Skewness4.240592638
Sum11
Variance0.0340742022
MonotonicityNot monotonic
2023-05-31T09:51:01.699416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 360
96.5%
1 12
 
3.2%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 360
96.5%
1 12
 
3.2%
ValueCountFrequency (%)
1 12
 
3.2%
0 360
96.5%
-1 1
 
0.3%

s_1983
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:01.794695image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:01.883239image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1985
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:01.972236image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:02.061165image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1992
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:02.153200image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-31T09:51:02.244232image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

s_1994
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:02.337634image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:02.424867image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1995
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:02.515044image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:02.602333image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1999
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:02.696332image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:02.813331image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:02.919334image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:03.021334image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_20
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04289544236
Minimum-1
Maximum1
Zeros355
Zeros (%)95.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:03.127084image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2157362545
Coefficient of variation (CV)5.029351433
Kurtosis16.46006428
Mean0.04289544236
Median Absolute Deviation (MAD)0
Skewness3.699041203
Sum16
Variance0.04654213151
MonotonicityNot monotonic
2023-05-31T09:51:03.218441image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 355
95.2%
1 17
 
4.6%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 355
95.2%
1 17
 
4.6%
ValueCountFrequency (%)
1 17
 
4.6%
0 355
95.2%
-1 1
 
0.3%

s_2000
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:03.313937image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:03.404245image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2001
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:03.492403image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:03.577405image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2002
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:03.665887image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:03.752858image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2005
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum0
Zeros371
Zeros (%)99.5%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:03.842463image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)-13.63813242
Kurtosis183.9783931
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-13.60117379
Sum-2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:03.929451image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 371
99.5%
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%

s_2006
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:04.017026image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:04.105026image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_2008
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:04.198026image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:04.285055image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_201
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:04.374837image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:04.460142image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_2010
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:04.547141image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:04.632142image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2017
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:04.728171image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:04.815142image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2018
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:04.906143image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:04.991793image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2019
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:05.082232image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-31T09:51:05.171649image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_202
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:05.265284image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:05.355285image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2022
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:05.445284image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:05.532284image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2023
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:05.619874image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:05.920876image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_203
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:06.019876image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:06.108283image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2033
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:06.199283image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:06.288284image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_2034
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02412868633
Minimum-1
Maximum1
Zeros356
Zeros (%)95.4%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-31T09:51:06.376282image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2124033102
Coefficient of variation (CV)8.80293719
Kurtosis18.70634591
Mean0.02412868633
Median Absolute Deviation (MAD)0
Skewness2.19423468
Sum9
Variance0.04511516619
MonotonicityNot monotonic
2023-05-31T09:51:06.466287image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 356
95.4%
1 13
 
3.5%
-1 4
 
1.1%
ValueCountFrequency (%)
-1 4
 
1.1%
0 356
95.4%
1 13
 
3.5%
ValueCountFrequency (%)
1 13
 
3.5%
0 356
95.4%
-1 4
 
1.1%

s_2043
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:06.562287image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:06.650318image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2045
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros365
Zeros (%)97.9%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:06.740289image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1462534308
Coefficient of variation (CV)13.63813242
Kurtosis43.75099202
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness3.234127418
Sum4
Variance0.02139006602
MonotonicityNot monotonic
2023-05-31T09:51:06.830130image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 365
97.9%
1 6
 
1.6%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 365
97.9%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 365
97.9%
-1 2
 
0.5%

s_2048
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:06.923910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:07.008902image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_2051
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:07.099570image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:07.184567image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2053
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:07.292569image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityIncreasing
2023-05-31T09:51:07.409569image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2055
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:07.514571image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:51:07.622570image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_2056
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02680965147
Minimum0
Maximum1
Zeros363
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:07.717326image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1617437197
Coefficient of variation (CV)6.033040746
Kurtosis32.7813734
Mean0.02680965147
Median Absolute Deviation (MAD)0
Skewness5.882654865
Sum10
Variance0.02616103087
MonotonicityNot monotonic
2023-05-31T09:51:07.805633image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 363
97.3%
1 10
 
2.7%
ValueCountFrequency (%)
0 363
97.3%
1 10
 
2.7%
ValueCountFrequency (%)
1 10
 
2.7%
0 363
97.3%

s_2057
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:07.893368image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:07.979865image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2059
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:08.067240image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:08.153539image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2060
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:08.247283image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:08.335282image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2062
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:08.423595image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:51:08.512584image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_2063
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:08.604884image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:08.690853image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2064
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:08.780850image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:08.870332image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2066
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:08.963480image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:09.049598image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_207
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum0
Zeros371
Zeros (%)99.5%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:09.140783image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)-13.63813242
Kurtosis183.9783931
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-13.60117379
Sum-2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:09.232809image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 371
99.5%
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%

s_2072
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:09.324588image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-31T09:51:09.413487image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_2074
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:09.502517image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:09.591487image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2078
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:09.680292image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:09.767897image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_208
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:09.858260image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:51:09.944629image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_2080
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:10.033004image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:10.121033image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_2081
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:10.211030image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:10.305008image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2083
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:10.417002image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:10.523003image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_2084
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:10.623907image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:10.713892image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2088
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-31T09:51:10.806113image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)-43.232057
Kurtosis72.50746401
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-1.666024859
Sum-1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-31T09:51:10.898143image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
-1 3
 
0.8%
1 2
 
0.5%
ValueCountFrequency (%)
-1 3
 
0.8%
0 368
98.7%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 368
98.7%
-1 3
 
0.8%

s_2091
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:10.991116image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:11.079182image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2092
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:11.166529image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:11.255559image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2093
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:11.344567image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:11.432278image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2094
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:11.519629image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:11.604951image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2096
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:11.710980image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:11.822954image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_21
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08042895442
Minimum-1
Maximum1
Zeros327
Zeros (%)87.7%
Negative8
Negative (%)2.1%
Memory size13.9 KiB
2023-05-31T09:51:11.933951image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3423006105
Coefficient of variation (CV)4.255937591
Kurtosis4.554603078
Mean0.08042895442
Median Absolute Deviation (MAD)0
Skewness1.299801914
Sum30
Variance0.117169708
MonotonicityNot monotonic
2023-05-31T09:51:12.036950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 327
87.7%
1 38
 
10.2%
-1 8
 
2.1%
ValueCountFrequency (%)
-1 8
 
2.1%
0 327
87.7%
1 38
 
10.2%
ValueCountFrequency (%)
1 38
 
10.2%
0 327
87.7%
-1 8
 
2.1%

s_2100
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1769436997
Minimum-1
Maximum1
Zeros301
Zeros (%)80.7%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-31T09:51:12.145951image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4026849265
Coefficient of variation (CV)2.275779964
Kurtosis0.8941546034
Mean0.1769436997
Median Absolute Deviation (MAD)0
Skewness1.320878678
Sum66
Variance0.16215515
MonotonicityNot monotonic
2023-05-31T09:51:12.235870image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 301
80.7%
1 69
 
18.5%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 301
80.7%
1 69
 
18.5%
ValueCountFrequency (%)
1 69
 
18.5%
0 301
80.7%
-1 3
 
0.8%

s_2103
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:12.335255image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:12.421888image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2111
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:12.509890image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:51:12.598918image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_2115
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:12.690775image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:12.779767image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2116
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:12.868720image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:13.128564image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_212
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:13.215565image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:13.303959image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2122
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:13.391966image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:13.478154image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2126
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:13.566181image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:13.649722image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2129
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:13.737730image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:13.824084image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2130
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:13.913470image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1036951695
Coefficient of variation (CV)nan
Kurtosis91.48782691
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.01075268817
MonotonicityNot monotonic
2023-05-31T09:51:14.001093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
-1 2
 
0.5%
1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 369
98.9%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 369
98.9%
-1 2
 
0.5%

s_2134
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:14.094104image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:14.179522image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2135
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:14.269945image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:14.354946image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2139
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:14.445322image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-31T09:51:14.532319image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_2140
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:14.624300image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:14.715536image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_2141
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:14.817544image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:14.905543image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2142
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03485254692
Minimum-1
Maximum1
Zeros356
Zeros (%)95.4%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:14.998543image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2109050957
Coefficient of variation (CV)6.051353899
Kurtosis18.114748
Mean0.03485254692
Median Absolute Deviation (MAD)0
Skewness3.242213596
Sum13
Variance0.04448095938
MonotonicityNot monotonic
2023-05-31T09:51:15.100545image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 356
95.4%
1 15
 
4.0%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 356
95.4%
1 15
 
4.0%
ValueCountFrequency (%)
1 15
 
4.0%
0 356
95.4%
-1 2
 
0.5%

s_2143
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:15.195546image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:15.292073image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2144
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros364
Zeros (%)97.6%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:15.421077image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1549624987
Coefficient of variation (CV)11.5602024
Kurtosis38.38943522
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness3.3699049
Sum5
Variance0.024013376
MonotonicityNot monotonic
2023-05-31T09:51:15.526022image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 364
97.6%
1 7
 
1.9%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 364
97.6%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 364
97.6%
-1 2
 
0.5%

s_2145
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:15.621057image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:15.710072image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2146
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:15.801078image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:15.885778image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2147
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:15.977537image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:16.063536image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_215
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:16.155592image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.136517515
Coefficient of variation (CV)10.18420662
Kurtosis49.98232341
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness5.014135328
Sum5
Variance0.01863703191
MonotonicityNot monotonic
2023-05-31T09:51:16.244899image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 6
 
1.6%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 366
98.1%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 366
98.1%
-1 1
 
0.3%

s_2153
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:16.343872image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:51:16.438090image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_2154
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:16.533062image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:16.619271image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2156
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:16.708242image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:16.797242image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2158
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:16.885381image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:16.976621image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_216
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02949061662
Minimum-1
Maximum1
Zeros358
Zeros (%)96.0%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:17.068113image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1986216158
Coefficient of variation (CV)6.735078428
Kurtosis21.16365419
Mean0.02949061662
Median Absolute Deviation (MAD)0
Skewness3.342938184
Sum11
Variance0.03945054628
MonotonicityNot monotonic
2023-05-31T09:51:17.166904image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 358
96.0%
1 13
 
3.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 358
96.0%
1 13
 
3.5%
ValueCountFrequency (%)
1 13
 
3.5%
0 358
96.0%
-1 2
 
0.5%

s_2161
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:17.268904image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:17.368426image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2162
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:17.460817image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:17.550047image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2163
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:17.639463image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-31T09:51:17.726322image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_2165
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:17.821349image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:17.911360image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_217
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:18.003323image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:18.091984image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2173
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:18.188601image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:18.282604image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2176
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:18.382630image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:18.475195image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2177
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:18.568056image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:18.658576image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2180
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:18.751257image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:18.842220image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2181
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:18.934221image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:19.025249image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_219
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:19.127774image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:19.217774image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_2193
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:19.311421image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:19.403393image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2194
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:19.500397image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:19.591392image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_22
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:19.681398image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:19.773385image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_220
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum-1
Maximum1
Zeros360
Zeros (%)96.5%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-31T09:51:19.885388image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1859922006
Coefficient of variation (CV)9.91072726
Kurtosis25.51589655
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness2.635026297
Sum7
Variance0.03459309868
MonotonicityNot monotonic
2023-05-31T09:51:19.980933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 360
96.5%
1 10
 
2.7%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 360
96.5%
1 10
 
2.7%
ValueCountFrequency (%)
1 10
 
2.7%
0 360
96.5%
-1 3
 
0.8%

s_2204
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:20.078710image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:20.364384image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2205
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:20.455102image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:20.543272image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2207
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:20.632271image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:20.720819image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2209
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:20.942826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:21.042827image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2211
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:21.142931image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:21.293089image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2237
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:21.403090image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:21.492794image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2238
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:21.586128image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:21.673000image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2241
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:21.765064image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:21.854101image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2247
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:21.949071image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:22.038673image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2248
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:22.135644image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1036951695
Coefficient of variation (CV)nan
Kurtosis91.48782691
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.01075268817
MonotonicityNot monotonic
2023-05-31T09:51:22.227644image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 2
 
0.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 369
98.9%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 369
98.9%
-1 2
 
0.5%

s_2253
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:22.325643image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:22.415155image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2256
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:22.511154image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:22.608155image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_226
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:22.698541image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-31T09:51:22.789787image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_2261
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:22.900794image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:22.988425image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2264
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:23.076780image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:23.165115image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2266
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:23.255928image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:23.359090image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2267
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:23.457121image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:23.549615image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_227
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02680965147
Minimum-1
Maximum1
Zeros353
Zeros (%)94.6%
Negative5
Negative (%)1.3%
Memory size13.9 KiB
2023-05-31T09:51:23.649185image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2303101198
Coefficient of variation (CV)8.59056747
Kurtosis15.43715333
Mean0.02680965147
Median Absolute Deviation (MAD)0
Skewness1.859652368
Sum10
Variance0.0530427513
MonotonicityNot monotonic
2023-05-31T09:51:23.744220image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 353
94.6%
1 15
 
4.0%
-1 5
 
1.3%
ValueCountFrequency (%)
-1 5
 
1.3%
0 353
94.6%
1 15
 
4.0%
ValueCountFrequency (%)
1 15
 
4.0%
0 353
94.6%
-1 5
 
1.3%

s_2276
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:23.846869image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:23.960022image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2278
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:24.056365image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:24.149569image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2280
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:24.239951image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:24.333511image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2282
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:24.433481image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:24.527804image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2283
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:24.626004image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:24.717168image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_2285
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:24.808541image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:24.896575image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2289
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:24.993714image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:25.086026image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_229
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0563002681
Minimum-1
Maximum1
Zeros344
Zeros (%)92.2%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-31T09:51:25.182484image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2734570319
Coefficient of variation (CV)4.857117757
Kurtosis9.097001342
Mean0.0563002681
Median Absolute Deviation (MAD)0
Skewness2.145740112
Sum21
Variance0.07477874831
MonotonicityNot monotonic
2023-05-31T09:51:25.275548image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 344
92.2%
1 25
 
6.7%
-1 4
 
1.1%
ValueCountFrequency (%)
-1 4
 
1.1%
0 344
92.2%
1 25
 
6.7%
ValueCountFrequency (%)
1 25
 
6.7%
0 344
92.2%
-1 4
 
1.1%

s_2290
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05361930295
Minimum-1
Maximum1
Zeros349
Zeros (%)93.6%
Negative22
Negative (%)5.9%
Memory size13.9 KiB
2023-05-31T09:51:25.376933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2482606912
Coefficient of variation (CV)-4.630061891
Kurtosis11.44185843
Mean-0.05361930295
Median Absolute Deviation (MAD)0
Skewness-2.871040695
Sum-20
Variance0.06163337081
MonotonicityNot monotonic
2023-05-31T09:51:25.475038image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 349
93.6%
-1 22
 
5.9%
1 2
 
0.5%
ValueCountFrequency (%)
-1 22
 
5.9%
0 349
93.6%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 349
93.6%
-1 22
 
5.9%

s_2291
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:25.576984image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:25.673344image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2292
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:25.767533image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:25.862271image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2299
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:25.957399image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:26.052349image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_23
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:26.151305image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:26.247314image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_230
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:26.339311image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:26.430310image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2300
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum0
Zeros371
Zeros (%)99.5%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:26.520311image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)-13.63813242
Kurtosis183.9783931
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-13.60117379
Sum-2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:26.607483image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 371
99.5%
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%

s_2302
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:26.699396image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:26.787395image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2303
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:26.880867image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:26.967869image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2304
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:27.060398image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:27.178398image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2306
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:27.270613image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:27.413438image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2307
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:27.539441image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:27.690445image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2315
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:27.821438image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:28.242771image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_233
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:28.352773image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:28.452015image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_234
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:28.543015image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-31T09:51:28.629738image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_236
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:28.721745image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:28.813773image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_24
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:28.905205image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:28.991554image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_241
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04825737265
Minimum-1
Maximum1
Zeros347
Zeros (%)93.0%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-31T09:51:29.084000image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.259918139
Coefficient of variation (CV)5.386081435
Kurtosis10.67256283
Mean0.04825737265
Median Absolute Deviation (MAD)0
Skewness2.204032425
Sum18
Variance0.06755743896
MonotonicityNot monotonic
2023-05-31T09:51:29.176622image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 347
93.0%
1 22
 
5.9%
-1 4
 
1.1%
ValueCountFrequency (%)
-1 4
 
1.1%
0 347
93.0%
1 22
 
5.9%
ValueCountFrequency (%)
1 22
 
5.9%
0 347
93.0%
-1 4
 
1.1%

s_243
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:29.271628image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:29.363634image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_245
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:29.454628image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1265453355
Coefficient of variation (CV)11.80035253
Kurtosis59.11050739
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness5.078529873
Sum4
Variance0.01601372193
MonotonicityNot monotonic
2023-05-31T09:51:29.545627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 5
 
1.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 367
98.4%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 367
98.4%
-1 1
 
0.3%

s_247
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:29.646260image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1268865819
Coefficient of variation (CV)23.66434753
Kurtosis59.76842808
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness2.518376402
Sum2
Variance0.01610020468
MonotonicityNot monotonic
2023-05-31T09:51:29.735734image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 4
 
1.1%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 367
98.4%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 367
98.4%
-1 2
 
0.5%

s_25
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:29.832735image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:51:29.923043image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_250
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:30.017073image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:30.104071image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_252
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:30.192043image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:30.279073image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_253
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:30.373054image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:30.463574image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_254
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04825737265
Minimum-1
Maximum1
Zeros347
Zeros (%)93.0%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-31T09:51:30.551999image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.259918139
Coefficient of variation (CV)5.386081435
Kurtosis10.67256283
Mean0.04825737265
Median Absolute Deviation (MAD)0
Skewness2.204032425
Sum18
Variance0.06755743896
MonotonicityNot monotonic
2023-05-31T09:51:30.641994image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 347
93.0%
1 22
 
5.9%
-1 4
 
1.1%
ValueCountFrequency (%)
-1 4
 
1.1%
0 347
93.0%
1 22
 
5.9%
ValueCountFrequency (%)
1 22
 
5.9%
0 347
93.0%
-1 4
 
1.1%

s_255
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:30.735015image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:30.823018image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_256
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:30.912018image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:30.998019image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_261
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06434316354
Minimum-1
Maximum1
Zeros333
Zeros (%)89.3%
Negative8
Negative (%)2.1%
Memory size13.9 KiB
2023-05-31T09:51:31.088840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3215209323
Coefficient of variation (CV)4.996971155
Kurtosis5.871202308
Mean0.06434316354
Median Absolute Deviation (MAD)0
Skewness1.33985149
Sum24
Variance0.1033757099
MonotonicityNot monotonic
2023-05-31T09:51:31.178879image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 333
89.3%
1 32
 
8.6%
-1 8
 
2.1%
ValueCountFrequency (%)
-1 8
 
2.1%
0 333
89.3%
1 32
 
8.6%
ValueCountFrequency (%)
1 32
 
8.6%
0 333
89.3%
-1 8
 
2.1%

s_263
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:31.278847image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:51:31.367845image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_265
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:31.470405image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:31.557712image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_266
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:31.647720image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:31.732650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_272
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:31.822284image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-31T09:51:31.919254image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_274
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:32.013283image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:32.102591image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_276
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:32.224563image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:32.341564image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_277
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:32.436596image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1268865819
Coefficient of variation (CV)23.66434753
Kurtosis59.76842808
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness2.518376402
Sum2
Variance0.01610020468
MonotonicityNot monotonic
2023-05-31T09:51:32.527106image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 4
 
1.1%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 367
98.4%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 367
98.4%
-1 2
 
0.5%

s_28
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:32.620960image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-31T09:51:32.764961image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_280
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:32.890933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:33.005933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_284
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07774798928
Minimum-1
Maximum1
Zeros338
Zeros (%)90.6%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-31T09:51:33.144935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2966901116
Coefficient of variation (CV)3.816048677
Kurtosis6.56908626
Mean0.07774798928
Median Absolute Deviation (MAD)0
Skewness2.192569626
Sum29
Variance0.08802502234
MonotonicityNot monotonic
2023-05-31T09:51:33.299932image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 338
90.6%
1 32
 
8.6%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 338
90.6%
1 32
 
8.6%
ValueCountFrequency (%)
1 32
 
8.6%
0 338
90.6%
-1 3
 
0.8%

s_285
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-31T09:51:33.430933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.127000127
Coefficient of variation (CV)nan
Kurtosis59.98376921
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.01612903226
MonotonicityNot monotonic
2023-05-31T09:51:33.570932image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 3
 
0.8%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 367
98.4%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 367
98.4%
-1 3
 
0.8%

s_287
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:33.708932image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:33.841935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_290
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:33.975960image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:34.102934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_291
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:34.252933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:34.441933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_297
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:34.677932image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:34.820934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_299
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01072386059
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative7
Negative (%)1.9%
Memory size13.9 KiB
2023-05-31T09:51:34.941934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1636044318
Coefficient of variation (CV)-15.25611326
Kurtosis34.47894408
Mean-0.01072386059
Median Absolute Deviation (MAD)0
Skewness-2.270704821
Sum-4
Variance0.0267664101
MonotonicityNot monotonic
2023-05-31T09:51:35.088934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
-1 7
 
1.9%
1 3
 
0.8%
ValueCountFrequency (%)
-1 7
 
1.9%
0 363
97.3%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 363
97.3%
-1 7
 
1.9%

s_30
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:35.191610image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-31T09:51:35.280581image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_300
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:35.372581image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:35.472584image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_301
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:35.566585image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:51:35.660321image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_302
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:35.760322image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:35.845322image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_305
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09115281501
Minimum-1
Maximum1
Zeros311
Zeros (%)83.4%
Negative14
Negative (%)3.8%
Memory size13.9 KiB
2023-05-31T09:51:35.935323image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3979139296
Coefficient of variation (CV)4.365349875
Kurtosis2.709290246
Mean0.09115281501
Median Absolute Deviation (MAD)0
Skewness0.7554368153
Sum34
Variance0.1583354954
MonotonicityNot monotonic
2023-05-31T09:51:36.022322image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 311
83.4%
1 48
 
12.9%
-1 14
 
3.8%
ValueCountFrequency (%)
-1 14
 
3.8%
0 311
83.4%
1 48
 
12.9%
ValueCountFrequency (%)
1 48
 
12.9%
0 311
83.4%
-1 14
 
3.8%

s_306
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:36.124979image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:51:36.212339image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_309
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02680965147
Minimum-1
Maximum1
Zeros359
Zeros (%)96.2%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:36.306429image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1921294331
Coefficient of variation (CV)7.166427853
Kurtosis23.01372776
Mean0.02680965147
Median Absolute Deviation (MAD)0
Skewness3.387134115
Sum10
Variance0.03691371905
MonotonicityNot monotonic
2023-05-31T09:51:36.587341image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 359
96.2%
1 12
 
3.2%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 359
96.2%
1 12
 
3.2%
ValueCountFrequency (%)
1 12
 
3.2%
0 359
96.2%
-1 2
 
0.5%

s_31
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:36.684072image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:36.773007image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_310
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:36.862013image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-31T09:51:36.949618image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_311
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:37.064628image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:51:37.157439image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_313
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:37.252872image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:37.349299image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_316
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:37.443329image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-31T09:51:37.546467image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_317
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:37.641473image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:51:37.733775image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_319
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02680965147
Minimum-1
Maximum1
Zeros359
Zeros (%)96.2%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:37.835884image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1921294331
Coefficient of variation (CV)7.166427853
Kurtosis23.01372776
Mean0.02680965147
Median Absolute Deviation (MAD)0
Skewness3.387134115
Sum10
Variance0.03691371905
MonotonicityNot monotonic
2023-05-31T09:51:37.930567image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 359
96.2%
1 12
 
3.2%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 359
96.2%
1 12
 
3.2%
ValueCountFrequency (%)
1 12
 
3.2%
0 359
96.2%
-1 2
 
0.5%

s_32
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:38.040573image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:38.138162image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_320
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros357
Zeros (%)95.7%
Negative6
Negative (%)1.6%
Memory size13.9 KiB
2023-05-31T09:51:38.233416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2071121492
Coefficient of variation (CV)19.31320792
Kurtosis20.49252169
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness1.060533528
Sum4
Variance0.04289544236
MonotonicityNot monotonic
2023-05-31T09:51:38.328943image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 357
95.7%
1 10
 
2.7%
-1 6
 
1.6%
ValueCountFrequency (%)
-1 6
 
1.6%
0 357
95.7%
1 10
 
2.7%
ValueCountFrequency (%)
1 10
 
2.7%
0 357
95.7%
-1 6
 
1.6%

s_322
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:38.493240image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:38.611241image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_323
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:38.747242image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:51:38.893738image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_325
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:39.035238image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:39.160236image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_328
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:39.287237image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:39.405238image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_329
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros361
Zeros (%)96.8%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:39.550241image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1783166375
Coefficient of variation (CV)8.314013222
Kurtosis27.63468842
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness3.448811458
Sum8
Variance0.0317968232
MonotonicityNot monotonic
2023-05-31T09:51:39.674236image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 361
96.8%
1 10
 
2.7%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 361
96.8%
1 10
 
2.7%
ValueCountFrequency (%)
1 10
 
2.7%
0 361
96.8%
-1 2
 
0.5%

s_330
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:39.824236image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:51:40.002240image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_331
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:40.224241image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.162543776
Coefficient of variation (CV)7.578603556
Kurtosis33.53307464
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness4.634367912
Sum8
Variance0.02642047911
MonotonicityNot monotonic
2023-05-31T09:51:40.444237image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
1 9
 
2.4%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 363
97.3%
1 9
 
2.4%
ValueCountFrequency (%)
1 9
 
2.4%
0 363
97.3%
-1 1
 
0.3%

s_332
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros364
Zeros (%)97.6%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:40.621236image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1549624987
Coefficient of variation (CV)11.5602024
Kurtosis38.38943522
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness3.3699049
Sum5
Variance0.024013376
MonotonicityNot monotonic
2023-05-31T09:51:40.721184image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 364
97.6%
1 7
 
1.9%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 364
97.6%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 364
97.6%
-1 2
 
0.5%

s_334
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:40.818804image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:40.913125image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_335
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:41.003124image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:41.094126image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_336
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:41.186370image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:41.276368image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_338
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:41.368369image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:51:41.455372image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_34
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:41.549901image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:41.638438image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_343
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:41.730443image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:41.827444image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_345
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:41.919445image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:42.008395image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_346
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:42.100396image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:42.195706image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_35
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:42.287219image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:42.377247image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_350
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:42.465739image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:42.577742image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_351
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:42.690742image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:42.776352image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_352
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:42.867803image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:42.963732image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_358
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:43.058997image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:43.192469image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_359
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:43.349467image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:43.523467image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_362
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:43.661466image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:43.781467image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_369
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.008042895442
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative5
Negative (%)1.3%
Memory size13.9 KiB
2023-05-31T09:51:43.933468image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1369391918
Coefficient of variation (CV)-17.02610618
Kurtosis50.62813511
Mean-0.008042895442
Median Absolute Deviation (MAD)0
Skewness-2.980048439
Sum-3
Variance0.01875234224
MonotonicityNot monotonic
2023-05-31T09:51:44.054468image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
-1 5
 
1.3%
1 2
 
0.5%
ValueCountFrequency (%)
-1 5
 
1.3%
0 366
98.1%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 366
98.1%
-1 5
 
1.3%

s_37
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:44.236469image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)-33.48141837
Kurtosis122.7715924
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-3.646749094
Sum-1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:51:44.422469image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
-1 2
 
0.5%
1 1
 
0.3%
ValueCountFrequency (%)
-1 2
 
0.5%
0 370
99.2%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 370
99.2%
-1 2
 
0.5%

s_370
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02680965147
Minimum-1
Maximum1
Zeros361
Zeros (%)96.8%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:44.662467image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1775876543
Coefficient of variation (CV)6.624019505
Kurtosis27.13105512
Mean0.02680965147
Median Absolute Deviation (MAD)0
Skewness4.366818946
Sum10
Variance0.03153737496
MonotonicityNot monotonic
2023-05-31T09:51:44.847466image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 361
96.8%
1 11
 
2.9%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 361
96.8%
1 11
 
2.9%
ValueCountFrequency (%)
1 11
 
2.9%
0 361
96.8%
-1 1
 
0.3%

s_371
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:44.985468image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:45.095876image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_373
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:45.387797image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:45.481948image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_38
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:45.583980image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:45.671979image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_380
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:45.765951image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:45.853947image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_381
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:45.944218image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:46.032608image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_382
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:46.125474image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:46.208474image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_383
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:46.301475image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:46.386477image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_385
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:46.473447image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:46.562444image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_386
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:46.650474image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:46.736686image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_388
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:46.828194image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-31T09:51:46.914013image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_389
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:47.000372image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:47.086282image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_39
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-31T09:51:47.175624image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1638685231
Coefficient of variation (CV)30.56147955
Kurtosis34.70575439
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness1.129660136
Sum2
Variance0.02685289285
MonotonicityNot monotonic
2023-05-31T09:51:47.264603image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
1 6
 
1.6%
-1 4
 
1.1%
ValueCountFrequency (%)
-1 4
 
1.1%
0 363
97.3%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 363
97.3%
-1 4
 
1.1%

s_393
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02412868633
Minimum0
Maximum1
Zeros364
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:47.363581image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1536547749
Coefficient of variation (CV)6.368136782
Kurtosis36.97905329
Mean0.02412868633
Median Absolute Deviation (MAD)0
Skewness6.227423235
Sum9
Variance0.02360978985
MonotonicityNot monotonic
2023-05-31T09:51:47.452579image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 364
97.6%
1 9
 
2.4%
ValueCountFrequency (%)
0 364
97.6%
1 9
 
2.4%
ValueCountFrequency (%)
1 9
 
2.4%
0 364
97.6%

s_398
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:47.543610image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:47.629628image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_400
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:47.718030image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:47.802393image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_402
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:47.892660image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:47.977664image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_404
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:48.066417image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:51:48.153777image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_407
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:48.244777image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:48.333779image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_408
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:48.441778image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-31T09:51:48.529777image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_410
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:48.617777image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:48.704247image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_415
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:48.790958image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:48.875866image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_417
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08310991957
Minimum-1
Maximum1
Zeros338
Zeros (%)90.6%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:48.970366image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2952290549
Coefficient of variation (CV)3.552272177
Kurtosis6.358284719
Mean0.08310991957
Median Absolute Deviation (MAD)0
Skewness2.384367733
Sum31
Variance0.08716019487
MonotonicityNot monotonic
2023-05-31T09:51:49.058910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 338
90.6%
1 33
 
8.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 338
90.6%
1 33
 
8.8%
ValueCountFrequency (%)
1 33
 
8.8%
0 338
90.6%
-1 2
 
0.5%

s_418
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros357
Zeros (%)95.7%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-31T09:51:49.156910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.206275329
Coefficient of variation (CV)9.617587217
Kurtosis20.14938484
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness2.148686015
Sum8
Variance0.04254951137
MonotonicityNot monotonic
2023-05-31T09:51:49.249939image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 357
95.7%
1 12
 
3.2%
-1 4
 
1.1%
ValueCountFrequency (%)
-1 4
 
1.1%
0 357
95.7%
1 12
 
3.2%
ValueCountFrequency (%)
1 12
 
3.2%
0 357
95.7%
-1 4
 
1.1%

s_419
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:49.348909image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:49.441910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_420
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:49.537201image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:49.623260image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_424
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:49.730268image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:49.818299image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_425
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:49.915313image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:50.005657image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_426
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:50.094986image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:50.180986image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_427
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:50.267986image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:50.356018image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_43
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:50.445251image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:51:50.537842image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_430
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:50.639840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:50.728080image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_433
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:50.819087image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:51:50.903087image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_435
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:50.995086image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:51.080087image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_437
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:51.169089image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1265453355
Coefficient of variation (CV)11.80035253
Kurtosis59.11050739
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness5.078529873
Sum4
Variance0.01601372193
MonotonicityNot monotonic
2023-05-31T09:51:51.257117image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 5
 
1.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 367
98.4%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 367
98.4%
-1 1
 
0.3%

s_44
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03753351206
Minimum-1
Maximum1
Zeros357
Zeros (%)95.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:51.353123image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2039563707
Coefficient of variation (CV)5.433980449
Kurtosis19.12729147
Mean0.03753351206
Median Absolute Deviation (MAD)0
Skewness3.898385782
Sum14
Variance0.04159820116
MonotonicityNot monotonic
2023-05-31T09:51:51.446476image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 357
95.7%
1 15
 
4.0%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 357
95.7%
1 15
 
4.0%
ValueCountFrequency (%)
1 15
 
4.0%
0 357
95.7%
-1 1
 
0.3%

s_47
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:51.545474image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1265453355
Coefficient of variation (CV)11.80035253
Kurtosis59.11050739
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness5.078529873
Sum4
Variance0.01601372193
MonotonicityNot monotonic
2023-05-31T09:51:51.636614image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 5
 
1.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 367
98.4%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 367
98.4%
-1 1
 
0.3%

s_471
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:51.729456image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:51.817523image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_474
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02949061662
Minimum-1
Maximum1
Zeros360
Zeros (%)96.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:51.908525image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1845919884
Coefficient of variation (CV)6.259346517
Kurtosis24.66832794
Mean0.02949061662
Median Absolute Deviation (MAD)0
Skewness4.240592638
Sum11
Variance0.0340742022
MonotonicityNot monotonic
2023-05-31T09:51:52.002524image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 360
96.5%
1 12
 
3.2%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 360
96.5%
1 12
 
3.2%
ValueCountFrequency (%)
1 12
 
3.2%
0 360
96.5%
-1 1
 
0.3%

s_478
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:52.111518image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:51:52.207209image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_48
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:52.486967image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:52.582977image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_480
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:52.671218image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:52.754227image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_483
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:52.843259image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:51:52.929233image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_484
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:53.019253image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:51:53.106671image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_485
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:53.200175image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:53.284547image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_486
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:53.373547image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:53.459546image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_487
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:53.546374image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:53.637083image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_488
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02949061662
Minimum-1
Maximum1
Zeros352
Zeros (%)94.4%
Negative5
Negative (%)1.3%
Memory size13.9 KiB
2023-05-31T09:51:53.725378image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2357532153
Coefficient of variation (CV)7.994177211
Kurtosis14.4959325
Mean0.02949061662
Median Absolute Deviation (MAD)0
Skewness1.889611978
Sum11
Variance0.05557957854
MonotonicityNot monotonic
2023-05-31T09:51:53.815378image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 352
94.4%
1 16
 
4.3%
-1 5
 
1.3%
ValueCountFrequency (%)
-1 5
 
1.3%
0 352
94.4%
1 16
 
4.3%
ValueCountFrequency (%)
1 16
 
4.3%
0 352
94.4%
-1 5
 
1.3%

s_489
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:53.910719image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:53.997110image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_492
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros361
Zeros (%)96.8%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:54.085109image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1783166375
Coefficient of variation (CV)8.314013222
Kurtosis27.63468842
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness3.448811458
Sum8
Variance0.0317968232
MonotonicityNot monotonic
2023-05-31T09:51:54.176578image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 361
96.8%
1 10
 
2.7%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 361
96.8%
1 10
 
2.7%
ValueCountFrequency (%)
1 10
 
2.7%
0 361
96.8%
-1 2
 
0.5%

s_493
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros361
Zeros (%)96.8%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:54.270578image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1783166375
Coefficient of variation (CV)8.314013222
Kurtosis27.63468842
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness3.448811458
Sum8
Variance0.0317968232
MonotonicityNot monotonic
2023-05-31T09:51:54.361350image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 361
96.8%
1 10
 
2.7%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 361
96.8%
1 10
 
2.7%
ValueCountFrequency (%)
1 10
 
2.7%
0 361
96.8%
-1 2
 
0.5%

s_50
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum-1
Maximum1
Zeros352
Zeros (%)94.4%
Negative7
Negative (%)1.9%
Memory size13.9 KiB
2023-05-31T09:51:54.457351image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2368511664
Coefficient of variation (CV)12.62078358
Kurtosis14.787586
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness1.184361341
Sum7
Variance0.05609847502
MonotonicityNot monotonic
2023-05-31T09:51:54.550349image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 352
94.4%
1 14
 
3.8%
-1 7
 
1.9%
ValueCountFrequency (%)
-1 7
 
1.9%
0 352
94.4%
1 14
 
3.8%
ValueCountFrequency (%)
1 14
 
3.8%
0 352
94.4%
-1 7
 
1.9%

s_503
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:54.655350image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:54.744933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_505
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:54.836403image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:54.923330image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_509
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:55.016979image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:55.106456image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_51
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:55.197300image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:55.300722image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_510
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:55.409095image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:51:55.510465image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_518
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:55.630469image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-31T09:51:55.723467image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_52
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:55.823077image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.136517515
Coefficient of variation (CV)10.18420662
Kurtosis49.98232341
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness5.014135328
Sum5
Variance0.01863703191
MonotonicityNot monotonic
2023-05-31T09:51:55.916784image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 6
 
1.6%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 366
98.1%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 366
98.1%
-1 1
 
0.3%

s_525
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:56.011951image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:56.098658image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_526
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:56.188836image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:56.277261image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_528
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:56.368634image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:51:56.459256image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_529
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:56.558631image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:56.673825image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_53
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum0
Maximum1
Zeros365
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:56.774169image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1450659679
Coefficient of variation (CV)6.763700751
Kurtosis42.2268841
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness6.633286671
Sum8
Variance0.02104413503
MonotonicityNot monotonic
2023-05-31T09:51:56.863168image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 365
97.9%

s_530
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:56.953197image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:57.039168image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_531
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:57.131169image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:57.216433image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_532
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:57.305459image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:51:57.390814image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_533
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02949061662
Minimum-1
Maximum1
Zeros358
Zeros (%)96.0%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:57.479841image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1986216158
Coefficient of variation (CV)6.735078428
Kurtosis21.16365419
Mean0.02949061662
Median Absolute Deviation (MAD)0
Skewness3.342938184
Sum11
Variance0.03945054628
MonotonicityNot monotonic
2023-05-31T09:51:57.570841image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 358
96.0%
1 13
 
3.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 358
96.0%
1 13
 
3.5%
ValueCountFrequency (%)
1 13
 
3.5%
0 358
96.0%
-1 2
 
0.5%

s_534
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-31T09:51:57.666965image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1371495439
Coefficient of variation (CV)51.15677989
Kurtosis50.94353186
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness0.9886653781
Sum1
Variance0.01880999741
MonotonicityNot monotonic
2023-05-31T09:51:57.756313image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 4
 
1.1%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 366
98.1%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 366
98.1%
-1 3
 
0.8%

s_538
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:57.848212image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:57.935573image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_539
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum0
Zeros371
Zeros (%)99.5%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:51:58.024920image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)-13.63813242
Kurtosis183.9783931
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-13.60117379
Sum-2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:51:58.110983image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 371
99.5%
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%

s_54
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:58.202991image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:58.288959image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_540
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07774798928
Minimum0
Maximum1
Zeros344
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:58.378216image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2681342762
Coefficient of variation (CV)3.448761553
Kurtosis8.070188278
Mean0.07774798928
Median Absolute Deviation (MAD)0
Skewness3.166535125
Sum29
Variance0.07189599008
MonotonicityNot monotonic
2023-05-31T09:51:58.462910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 344
92.2%
1 29
 
7.8%
ValueCountFrequency (%)
0 344
92.2%
1 29
 
7.8%
ValueCountFrequency (%)
1 29
 
7.8%
0 344
92.2%

s_542
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum0
Maximum1
Zeros365
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:58.552174image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1450659679
Coefficient of variation (CV)6.763700751
Kurtosis42.2268841
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness6.633286671
Sum8
Variance0.02104413503
MonotonicityNot monotonic
2023-05-31T09:51:58.638176image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 365
97.9%

s_543
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-31T09:51:58.728879image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1636044318
Coefficient of variation (CV)15.25611326
Kurtosis34.47894408
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness2.270704821
Sum4
Variance0.0267664101
MonotonicityNot monotonic
2023-05-31T09:51:58.815388image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
1 7
 
1.9%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 363
97.3%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 363
97.3%
-1 3
 
0.8%

s_545
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:58.910372image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:58.994210image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_55
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:59.082211image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:51:59.171581image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_550
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:59.262580image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:51:59.349048image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_551
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:51:59.437205image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.136517515
Coefficient of variation (CV)10.18420662
Kurtosis49.98232341
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness5.014135328
Sum5
Variance0.01863703191
MonotonicityNot monotonic
2023-05-31T09:51:59.720852image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 6
 
1.6%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 366
98.1%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 366
98.1%
-1 1
 
0.3%

s_553
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:59.813304image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:51:59.899450image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_554
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:51:59.989762image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:52:00.076797image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_555
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:00.162542image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:52:00.246979image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_556
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:00.336318image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-31T09:52:00.420313image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_557
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:00.509062image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:00.593371image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_558
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:00.686412image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:52:00.770365image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_56
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:00.858522image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:52:00.942782image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_561
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:01.030811image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:52:01.116527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_562
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:01.204529image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:52:01.293314image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_563
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:01.385626image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:52:01.471627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_567
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:01.558908image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:01.645099image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_568
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:01.736099image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:01.823122image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_57
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:01.911172image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:01.997749image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_571
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:02.085748image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:02.172718image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_575
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:02.261747image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:52:02.349330image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_578
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:02.439323image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:52:02.525682image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_579
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:52:02.614468image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-31T09:52:02.708369image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_580
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:02.799879image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-31T09:52:02.886858image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_581
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:02.976022image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:52:03.062299image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_582
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:03.149298image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:03.236299image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_583
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:03.325104image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:52:03.414379image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_59
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:03.506937image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-31T09:52:03.595606image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_593
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:03.693206image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:52:03.779443image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_594
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:03.866728image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.162543776
Coefficient of variation (CV)7.578603556
Kurtosis33.53307464
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness4.634367912
Sum8
Variance0.02642047911
MonotonicityNot monotonic
2023-05-31T09:52:03.952844image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
1 9
 
2.4%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 363
97.3%
1 9
 
2.4%
ValueCountFrequency (%)
1 9
 
2.4%
0 363
97.3%
-1 1
 
0.3%

s_598
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:04.046844image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:52:04.130841image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_60
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:04.220257image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:52:04.309646image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_603
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:04.399644image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:04.484645image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_605
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:04.571646image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:52:04.659676image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_606
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum0
Zeros371
Zeros (%)99.5%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:52:04.748645image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)-13.63813242
Kurtosis183.9783931
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-13.60117379
Sum-2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:52:04.836151image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 371
99.5%
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%

s_607
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:04.924151image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:05.009151image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_608
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:05.096861image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:05.181867image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_609
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:05.268840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:52:05.353778image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_610
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:05.443893image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:52:05.531033image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_611
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:05.622530image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:05.710531image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_612
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:05.798721image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:05.883726image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_614
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:05.969756image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:52:06.059285image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_616
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02680965147
Minimum0
Maximum1
Zeros363
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:06.151259image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1617437197
Coefficient of variation (CV)6.033040746
Kurtosis32.7813734
Mean0.02680965147
Median Absolute Deviation (MAD)0
Skewness5.882654865
Sum10
Variance0.02616103087
MonotonicityNot monotonic
2023-05-31T09:52:06.236258image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 363
97.3%
1 10
 
2.7%
ValueCountFrequency (%)
0 363
97.3%
1 10
 
2.7%
ValueCountFrequency (%)
1 10
 
2.7%
0 363
97.3%

s_622
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:06.323671image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:52:06.412667image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_623
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:06.505698image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:06.784029image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_630
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:06.870028image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:06.956058image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_631
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum0
Maximum1
Zeros365
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:07.044030image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1450659679
Coefficient of variation (CV)6.763700751
Kurtosis42.2268841
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness6.633286671
Sum8
Variance0.02104413503
MonotonicityNot monotonic
2023-05-31T09:52:07.128654image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 365
97.9%

s_64
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:07.216491image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:07.301492image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_640
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:07.389699image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:07.473734image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_642
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-31T09:52:07.562833image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1371495439
Coefficient of variation (CV)51.15677989
Kurtosis50.94353186
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness0.9886653781
Sum1
Variance0.01880999741
MonotonicityNot monotonic
2023-05-31T09:52:07.649879image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 4
 
1.1%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 366
98.1%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 366
98.1%
-1 3
 
0.8%

s_646
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:07.747913image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:52:07.834698image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_65
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:07.929280image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:52:08.014281image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_650
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros365
Zeros (%)97.9%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-31T09:52:08.105280image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1465487931
Coefficient of variation (CV)27.33134991
Kurtosis44.11279114
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness1.607009793
Sum2
Variance0.02147654876
MonotonicityNot monotonic
2023-05-31T09:52:08.194230image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 365
97.9%
1 5
 
1.3%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 365
97.9%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 365
97.9%
-1 3
 
0.8%

s_651
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:08.290236image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:52:08.380035image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_659
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:08.467289image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:52:08.554261image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_660
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:08.642837image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:52:08.733836image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_663
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:08.821836image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:08.910836image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_665
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:09.000835image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:09.094804image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_67
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:09.186812image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:52:09.276160image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_670
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:09.373639image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:09.462639image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_671
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:09.560643image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:52:09.660646image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_672
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:09.770198image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:52:09.865660image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_673
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:09.956458image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:10.048999image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_68
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum-1
Maximum1
Zeros365
Zeros (%)97.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:10.139925image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1457598302
Coefficient of variation (CV)9.061402778
Kurtosis43.13116301
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness4.902147849
Sum6
Variance0.0212459281
MonotonicityNot monotonic
2023-05-31T09:52:10.233740image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 365
97.9%
1 7
 
1.9%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 365
97.9%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 365
97.9%
-1 1
 
0.3%

s_690
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:10.330746image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:52:10.419757image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_691
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:10.512701image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:10.599604image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_694
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:10.687354image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:52:10.780091image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_697
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:52:10.868484image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)-33.48141837
Kurtosis122.7715924
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-3.646749094
Sum-1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:52:10.958426image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
-1 2
 
0.5%
1 1
 
0.3%
ValueCountFrequency (%)
-1 2
 
0.5%
0 370
99.2%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 370
99.2%
-1 2
 
0.5%

s_698
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:11.058940image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:11.153561image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_700
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0509383378
Minimum-1
Maximum1
Zeros350
Zeros (%)93.8%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:52:11.252700image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.243364475
Coefficient of variation (CV)4.777628904
Kurtosis12.14632389
Mean0.0509383378
Median Absolute Deviation (MAD)0
Skewness2.922101523
Sum19
Variance0.05922626769
MonotonicityNot monotonic
2023-05-31T09:52:11.361219image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 350
93.8%
1 21
 
5.6%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 350
93.8%
1 21
 
5.6%
ValueCountFrequency (%)
1 21
 
5.6%
0 350
93.8%
-1 2
 
0.5%

s_706
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:11.456182image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:11.543531image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_71
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-31T09:52:11.633533image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.127000127
Coefficient of variation (CV)nan
Kurtosis59.98376921
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.01612903226
MonotonicityNot monotonic
2023-05-31T09:52:11.721560image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 3
 
0.8%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 367
98.4%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 367
98.4%
-1 3
 
0.8%

s_715
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:11.816530image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:11.903881image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_716
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:11.991881image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:52:12.079790image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_717
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:12.168812image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:12.256796image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_72
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:12.347339image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.162543776
Coefficient of variation (CV)7.578603556
Kurtosis33.53307464
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness4.634367912
Sum8
Variance0.02642047911
MonotonicityNot monotonic
2023-05-31T09:52:12.439345image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
1 9
 
2.4%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 363
97.3%
1 9
 
2.4%
ValueCountFrequency (%)
1 9
 
2.4%
0 363
97.3%
-1 1
 
0.3%

s_721
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:12.533347image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:12.623561image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_743
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:12.713668image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:12.803974image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_75
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:12.893769image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-31T09:52:12.977546image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_750
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:13.070362image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:52:13.160823image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_762
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:13.258830image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:13.347158image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_763
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:13.438509image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:52:13.528479image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_766
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:13.618836image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:13.705990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_776
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:13.795989image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:13.882253image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_777
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:13.969688image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:52:14.245651image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_790
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:14.332661image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:14.419759image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_791
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:14.507213image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:14.594267image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_793
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:14.701650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:14.826646image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_799
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:14.919647image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:52:15.008710image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_8
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03753351206
Minimum-1
Maximum1
Zeros347
Zeros (%)93.0%
Negative6
Negative (%)1.6%
Memory size13.9 KiB
2023-05-31T09:52:15.105170image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2616866859
Coefficient of variation (CV)6.972080989
Kurtosis11.02430665
Mean0.03753351206
Median Absolute Deviation (MAD)0
Skewness1.67584075
Sum14
Variance0.06847992159
MonotonicityNot monotonic
2023-05-31T09:52:15.197502image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 347
93.0%
1 20
 
5.4%
-1 6
 
1.6%
ValueCountFrequency (%)
-1 6
 
1.6%
0 347
93.0%
1 20
 
5.4%
ValueCountFrequency (%)
1 20
 
5.4%
0 347
93.0%
-1 6
 
1.6%

s_801
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:15.294487image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:15.382648image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_81
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:15.476166image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.162543776
Coefficient of variation (CV)7.578603556
Kurtosis33.53307464
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness4.634367912
Sum8
Variance0.02642047911
MonotonicityNot monotonic
2023-05-31T09:52:15.566489image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
1 9
 
2.4%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 363
97.3%
1 9
 
2.4%
ValueCountFrequency (%)
1 9
 
2.4%
0 363
97.3%
-1 1
 
0.3%

s_830
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:15.691926image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:15.813955image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_84
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:15.904682image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:15.993652image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_842
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:16.086654image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:16.183359image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_85
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:16.274019image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:16.368336image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_857
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:16.461042image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:52:16.550108image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_87
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:16.642105image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:16.734297image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_88
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0509383378
Minimum-1
Maximum1
Zeros342
Zeros (%)91.7%
Negative6
Negative (%)1.6%
Memory size13.9 KiB
2023-05-31T09:52:16.834087image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2841331449
Coefficient of variation (CV)5.577982266
Kurtosis8.545901582
Mean0.0509383378
Median Absolute Deviation (MAD)0
Skewness1.69208066
Sum19
Variance0.08073164404
MonotonicityNot monotonic
2023-05-31T09:52:16.940587image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 342
91.7%
1 25
 
6.7%
-1 6
 
1.6%
ValueCountFrequency (%)
-1 6
 
1.6%
0 342
91.7%
1 25
 
6.7%
ValueCountFrequency (%)
1 25
 
6.7%
0 342
91.7%
-1 6
 
1.6%

s_9
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02680965147
Minimum-1
Maximum1
Zeros359
Zeros (%)96.2%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-31T09:52:17.040070image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1921294331
Coefficient of variation (CV)7.166427853
Kurtosis23.01372776
Mean0.02680965147
Median Absolute Deviation (MAD)0
Skewness3.387134115
Sum10
Variance0.03691371905
MonotonicityNot monotonic
2023-05-31T09:52:17.130076image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 359
96.2%
1 12
 
3.2%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 359
96.2%
1 12
 
3.2%
ValueCountFrequency (%)
1 12
 
3.2%
0 359
96.2%
-1 2
 
0.5%

s_90
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:17.230407image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-31T09:52:17.391416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_917
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:17.558415image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-31T09:52:17.718416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_92
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02412868633
Minimum-1
Maximum1
Zeros362
Zeros (%)97.1%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:17.877416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1702531466
Coefficient of variation (CV)7.056047076
Kurtosis30.04131012
Mean0.02412868633
Median Absolute Deviation (MAD)0
Skewness4.498560332
Sum9
Variance0.02898613393
MonotonicityNot monotonic
2023-05-31T09:52:17.999444image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 362
97.1%
1 10
 
2.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 362
97.1%
1 10
 
2.7%
ValueCountFrequency (%)
1 10
 
2.7%
0 362
97.1%
-1 1
 
0.3%

s_936
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-31T09:52:18.146414image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-31T09:52:18.267419image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_959
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:18.427416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-31T09:52:18.615415image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_962
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum0
Maximum1
Zeros365
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:18.821418image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1450659679
Coefficient of variation (CV)6.763700751
Kurtosis42.2268841
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness6.633286671
Sum8
Variance0.02104413503
MonotonicityNot monotonic
2023-05-31T09:52:18.949414image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 365
97.9%

s_965
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:19.065415image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-31T09:52:19.213415image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_967
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:19.310515image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-31T09:52:19.402524image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_98
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum-1
Maximum1
Zeros282
Zeros (%)75.6%
Negative42
Negative (%)11.3%
Memory size13.9 KiB
2023-05-31T09:52:19.495113image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4942373094
Coefficient of variation (CV)26.33578806
Kurtosis1.12679503
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness0.04212250164
Sum7
Variance0.244270518
MonotonicityNot monotonic
2023-05-31T09:52:19.587141image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 282
75.6%
1 49
 
13.1%
-1 42
 
11.3%
ValueCountFrequency (%)
-1 42
 
11.3%
0 282
75.6%
1 49
 
13.1%
ValueCountFrequency (%)
1 49
 
13.1%
0 282
75.6%
-1 42
 
11.3%

s_99
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05361930295
Minimum0
Maximum1
Zeros353
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-31T09:52:19.686437image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.225567468
Coefficient of variation (CV)4.206833279
Kurtosis13.9084418
Mean0.05361930295
Median Absolute Deviation (MAD)0
Skewness3.979182512
Sum20
Variance0.05088068264
MonotonicityNot monotonic
2023-05-31T09:52:19.775743image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 353
94.6%
1 20
 
5.4%
ValueCountFrequency (%)
0 353
94.6%
1 20
 
5.4%
ValueCountFrequency (%)
1 20
 
5.4%
0 353
94.6%